Senior data scientist jobs in Waukesha, WI

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide. Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities. Job Description: Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Internal candidates are not required to relocate near an office. The opportunity: The Senior Data Scientist provides advanced analytics support within the Business Analytics function that applies the power of data with machine learning to enhance risk-based decisions across the Health and Risk Solutions business. This team is expected to work closely with the other functional teams, in particular the Pricing, Underwriting, and Clinical teams. This position reports to the Director, Data Science within the Health and Risk Solutions business. Responsibilities include developing and monitoring predictive models to support our pricing, underwriting and clinical review processes, as well as supporting the implementation of these models. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes and bring in industry standard best practice on developing and maintaining MLOPS. How you will contribute: * Apply advanced data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization and data profiling. * Apply expertise with data wrangling, feature engineering, model training and model evaluation. * Ability to identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. * Align with best practices for data mining and modeling as set up by the team * Partners with key subject matter experts across various functional teams within the Health & Risk Solution business to help develop predictive modeling and analytic solutions based on understanding of business needs and opportunities. * Develop and maintain high-quality, robust predictive models using advanced analytic techniques * Extract and analyze internal and external data sources to help answer key business problems related to risk assessment. What you will bring with you: * Ability to work with a diverse range of people * 4-5 years of experience in developing and implementing data science techniques * BS/MS/PhD in a statistical, mathematical, or technical field (e.g., data science, computer science, actuarial science) * Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field preferred. Experience with pricing/underwriting advanced analytics application within property & casualty insurance sector is welcomed. * Business knowledge of insurance sector preferred. * Strong communication skills, with an ability to explain technical concepts to a non-technical audience. * Attention to details and accuracy and clarity in communicating results and insights * Proactive ownership of problem solving with team members and subject matter experts * Experience with a broad range of statistical programming languages, applications and data environments (e.g., R, Python, SQL, Tableau) * Strong knowledge of data science including conditioning, modeling, integration and visualization * Strong knowledge of the fundamental statistical and AI underpinnings of data science * Commitment to data compliance, model governance and security protocols * Strong business acumen to understand why and how the work we do will impact our business stakeholders Salary: $97,400-$146,100 At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions. Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you! We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds. Life is brighter when you work at Sun Life At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities. We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email ************************* to request an accommodation. For applicants residing in California, please read our employee California Privacy Policy and Notice. We do not require or administer lie detector tests as a condition of employment or continued employment. Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Category: Advanced Analytics Posting End Date: 11/01/2026

What you will do In this exciting role you will lead the effort to build and maintain a digital twin of our mission critical North American closed-loop critical minerals supply chain. This is not only a $2.2B global network that represents over half of Clarios' NA's cost of goods sold, it also is a vital for the US economy - directly enabling consumers and business to stay on the road! This will require working with predictive, prescriptive analytics and decision-intelligence across the US / Canada region at Clarios. You'll apply modern statistics, machine learning and AI to real manufacturing and supply chain problems, working side-by-side with our business stakeholders and our global analytics team to deploy transformative solutions- not just models. How you will do it Build production-ready ML/statistical models (regression/classification, clustering, time series, linear / non-linear optimizations) to detect patterns, perform scenario and what if analytics and generate prescriptive insights / outcomes. Wrangle and analyze and model data with Python and SQL; perform feature engineering, data quality checks, and exploration analysis to validate hypotheses and model readiness. Develop digital solutions /visuals in Power BI and our decision intelligence platform to communicate results and monitor performance with business users. Partner with stakeholders to clarify use cases, translate needs into technical tasks/user stories, and iterate solutions in sprints. Manage model deployment (e.g., packaging models, basic MLOps) with guidance from Global Analytics Lead complex solution development, scoping and utilize design thinking principles for customer centric model delivery Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and continuous improvement of delivered analytics. Deliver value realization as part of our business analytics team to drive positive business outcomes for our metals team. Potential travel up to 5-10% What we look for Required Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related field-or equivalent practical experience. 3-5 years of applying ML/statistics on business data. Python proficiency (pandas, scikit-learn, SciPy/statsmodels) and SQL across common platforms (e.g., SQL Server, Snowflake). Core math/stats fundamentals: probability, hypothesis testing/DoE basics, linear algebra, and the principles behind common ML methods. Data visualization experience with Power BI / Decision Intelligence Platforms for analysis and stakeholder storytelling. Ability to work in cross-functional teams and explain technical work clearly to non-technical partners. Candidates must be self-driven, curious, and creative Preferred Cloud & big data exposure: Azure (or AWS), Databricks/Spark; Snowpark is a plus. Understanding of ETL/ELT tools such as ADF, SSIS, Talend, Informatica, or Matillion. MLOps concepts (model validation, monitoring, packaging with Docker/Kubernetes). Deep learning basics (PyTorch/Keras) for the right use cases. Experience contributing to agile backlogs, user stories, and sprint delivery. 5+ years of experience in data analytics Master's Degree in Statistics, Economics, Data Science or Computer Science. How you will be successful Deliver incremental value quickly (first dashboards, baseline models) and iterate with stakeholder feedback. Balance rigor with practicality-choose the simplest model that solves the problem and can be supported in production. Keep data quality front-and-center; instrument checks to protect decisions from drift and bad inputs. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process by emailing Special.Accommodations@Clarios.com. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report. We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To all recruitment agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Department BSD MED - Hematology and Oncology - Howard Research Staff About the Department The Section of Hematology/Oncology has a proud and long tradition of excellence in research-based patient care and clinical discovery. Ranked among the finest cancer programs in the country, the Section is comprised of nationally and internationally known faculty with expertise in all major types of malignancies, blood disorders, and experimental therapies. Job Summary The Data Scientist will lead data science research efforts within breast cancer program in the Section of Hematology/Oncology in the Department of Medicine. Responsibilities Manage the program's projects. Develop frameworks for housing multi-modal clinical data - including genomic, pathology, and radiographic imaging data. Develop and code data dictionaries for discrete data. Write, Implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis. Work with collaborators to implement emerging external computational tools for program data. Draft grant proposals. Develop training material. Keep lab's knowledge-based trainings up to date. Supervise trainees. Perform reproducible genomic data analysis. Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information. Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Advanced degree in computer science. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data or unstructured text data with large language models. Preferred Competencies Proficiency in Linux/Ubuntu OS including basic file and user management, ssh. Familiarity with tmux, SLURM. Strong Analytical skills. Problem-solving skills. Organizational skills. Verbal and written communication skills. Ability to work independently and as part of a team. Application Documents Resume (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor Scheduled Weekly Hours 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $70,000.00 - $100,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call ************ or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: *********************************** Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future. Milliman is seeking a technically savvy, analytically strong Healthcare Data Analyst Lead to manage analytics and technology projects as well as coach and mentor junior analytical staff. The ideal candidate is someone seeking to join a challenging, yet rewarding environment focused on delivering world-class analytics across a variety of healthcare-related domains to a variety of healthcare entities. Who We Are Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Job Responsibilities * Lead and manage analytics and technology projects from data ingestion through delivery. * Design, develop, and optimize data processes and workflows supporting large healthcare datasets. * Perform and oversee ETL, validation, and transformation tasks for claims, eligibility, and pharmacy data. * Guide project teams through the full "data-to-deliverable" lifecycle, ensuring accuracy and efficiency. * Build analytical models, dashboards, and data pipelines to support consulting engagements. * Collaborate with consultants, actuaries, and project managers to interpret results and deliver client insights. * Review and approve technical work from peers and junior analysts to ensure quality standards are met. * Mentor, coach, and delegate to analytical staff to strengthen technical and professional development. * Contribute to innovation and process improvement initiatives, including automation, cloud enablement, and AI integration. * Participate in client meetings and presentations, occasionally requiring travel. Minimum requirements * Bachelor's degree required (Computer Science, Management Information Systems, Computer Engineering, Math, Actuarial Science, Data Analytics, or related degree is preferred) * 6+ years of experience in healthcare data analytics or a related technical analytics role. * Advanced proficiency with SQL and Microsoft Excel for data analysis, validation, and automation. * Strong programming skills in Python, R, or other analytical languages. * Experience with data visualization and reporting tools (e.g., Power BI, Tableau, or R Shiny). * Solid understanding of healthcare data structures, including claims, eligibility, and provider data. * Proven ability to lead multiple projects simultaneously while mentoring and developing junior team members. * Experience with cloud data technologies (e.g., Azure Data Factory, Databricks, Snowflake, AWS Redshift, or similar). * Exposure to AI or Generative AI tools for data analysis, automation, or insight generation is preferred, but not required. Competencies and Behaviors that Support Success in this Role * Deep understanding of database architecture and large-scale healthcare data environments. * Strong analytical thinking and the ability to translate complex data into actionable insights. * Excellent communication skills, including the ability to explain technical concepts to non-technical audiences. * Highly organized, detail-oriented, and able to manage competing priorities. * Collaborative and proactive leadership style with a focus on mentorship and knowledge-sharing. * Passion for applying analytics to improve healthcare performance, quality, and cost outcomes. * Demonstrated accountability for quality, timelines, and client satisfaction. * Fast learner who thrives in a dynamic, innovation-driven environment. The Team The Healthcare Data Analyst Lead will join a team that thrives on leveraging data, analytics, and technology to deliver meaningful business value. This is a team with technical aptitude and analytical prowess that enjoys building efficient and scalable products and processes. Ultimately, we are passionate about effecting change in healthcare. We also believe that collaboration and communication are cornerstones of success. The Healthcare Data Analyst Lead will also join a mix of Healthcare Analysts, Leads, Consultants, and Principals. In addition, as part of the broader Milliman landscape, they will work alongside Healthcare Actuaries, Pharmacists, Clinicians, and Physicians. We aim to provide everyone a supportive environment, where we foster learning and growth through rewarding challenges. Salary: The overall salary range for this role is $104,900 - $199,065. For candidates residing in: * Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Notable New York City, Newark, San Jose, San Francisco, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $120,635 - $199,065. * All other locations the salary range is $104,900 - $173,100. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Location: It is preferred that candidates work on-site at our Brookfield, Wisconsin office, however, remote candidates will be considered. The expected application deadline for this job is May 25, 2026. Benefits We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: * Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners. * Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges. * 401(k) Plan - Includes a company matching program and profit-sharing contributions. * Discretionary Bonus Program - Recognizing employee contributions. * Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses. * Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. * Holidays - A minimum of 10 observed holidays per year. * Family Building Benefits - Includes adoption and fertility assistance. * Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria. * Life Insurance & AD&D - 100% of premiums covered by Milliman. * Short-Term and Long-Term Disability - Fully paid by Milliman. Equal Opportunity: All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

CapB is a global leader on IT Solutions and Managed Services. Our R&D is focused on providing cutting edge products and solutions across Digital Transformations from Cloud, AI/ML, IOT, Blockchain to MDM/PIM, Supply chain, ERP, CRM, HRMS and Integration solutions. For our growing needs we need consultants who can work with us on salaried or contract basis. We provide industry standard benefits, and an environment for LEARNING & Growth. For one of our going on project we are looking for a Business Intelligence Data Modeler. The position is based out of Milwaukee. Responsibilities: The Business Intelligence Analyst performs a variety of project-oriented tasks to support the information needs of the organization. This position is responsible for all phases of reporting, decision support, and data analysis activities including report design, measure development, data collection, summarization, and validation. The BI Analyst exercises independent judgement and discretionary decision making related to managing multiple and more complex reporting projects. The BI Analyst is proficient with analytical and reporting tools, database development, ETL processes, query languages, and database and spreadsheet tools. The BI Analyst will participate in reporting and presentations to various levels of management and staff and may also be included in action plan development. BI Analyst will have in depth experience with Power BI to create dashboards, data exploration, visualization, and data storytelling from concept to final deliverables. Advanced experience with Power BI, Power BI dataflow and dashboard. Technical expertise with data modeling and design to interact with multiple sources of data. Ability to write complex DAX code and SQL queries for data manipulation. Skills: 10 years experience required to Data analysis. 10 years experience required to Dashboarding/Business Objects Xcelsius.

blue Stone Recruiting is a national search firm with a focus of placing top Cyber Security talent from the Analyst level to CISO with prestigious organizations nationwide. Job Description Currently working with a Fortune 500 global manufacturing client that is looking for a Security Lead- Data Protection focused individual. This client is looking to add a permanent member to their security team that can grow within the company. Responsibilities: • Develop and lead the Security Lead-Global Data Protection program across all clients business units • Build and manage an effective data classification program • Develop and drive Security Lead-Data Protection policies, standards and processes • Develop and drive a data loss prevention tools strategy partnering with companies Information Technology groups and the clients business units • Align Security -Lead Data Protection programs with other information security and cross-functional programs • Direct and improve the Security Lead-Data Protection and DLP programs and associated governance activities including metrics, issue tracking and remediation, and programs supporting client policies. • Establish and maintain cross-business relationships with key Leads and stakeholders across clients business, information security, and IT functions • Coordinate with the Global IT Council to ensure compliance with clients standards and share best practices • Conduct research and make recommendations on products, services, and standards in support of all global infrastructure security efforts. • Develop and maintain appropriate response playbooks, facilitate routine exercises, and ensure a sound communication process for all cyber events Job Requirements: Formal Education & Certification • Bachelor's degree in Information Security, IT Engineering, or Computer Science with 5+ years of IT experience • Industry-recognized security certification such as GIAC, CISSP, CISM, or CISA are preferred . Qualifications • Minimum 5 years' information security experience including experience mapping and securing business processes / data flows • Demonstrated experience building and leading a cyber-security program • Advanced knowledge of data protection/DLP and Windows client/server security concepts, best practices, and procedures • Solid “hands on” technical experience is essential • Experience in Information Security Incident Response • Experience in IaaS/SaaS environments • Broad understanding of all aspects of IT and enterprise systems interoperability • Ability to communicate technical topics (verbal and written) to multiple organizational levels • Global enterprise experience is preferred Personal Attributes: Demonstrated Leadship managing direct and matrix-reporting global teams • Demonstrated experience leading global programs across technology and business functions • Strong interpersonal, written, and oral communication skills • Able to conduct research into issues and products as required • Ability to prioritize and execute tasks in a fast-paced environment and make sound decisions in emergency situation • Highly self-motivated and directed • Keen attention to detail • Proven analytical and problem-solving abilities Additional Information Work with blue Stone recruiting to find your next Cyber Security role. You can find us at ******************************* We look forward to speaking with you. All your information will be kept confidential according to EEO guidelines.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION: We're focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our new sensing technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year An excellent retirement savings plan with high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. THE OPPORTUNITY This Senior Data Engineer position can work out remotely within the U.S. Are you ready to apply your technical expertise to make a real impact in the medical field and help improve the lives of people with diabetes? This role offers the opportunity to lead cloud-based big data engineering efforts, including data wrangling, analysis, and pipeline development. You'll help define and implement the organization's Big Data strategy, working closely with data engineers, analysts, and scientists to solve complex business problems using data science and machine learning. As a senior member of the Data Engineering & Analytics team, you'll build scalable data solutions that uncover insights across customer behavior, product performance, and operations. You'll work in a distributed team environment using modern technologies like Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python. The ideal candidate is passionate about software engineering, thrives in fast-paced environments, and brings versatility, curiosity, and a collaborative spirit to the team. What You'll Work On Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives Develop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services. Design and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3 Integrate and assemble large, complex data sets that meet a broad range of business requirements Read, extract, transform, stage and load data to selected tools and frameworks as required and requested Customizing and managing integration tools, databases, warehouses, and analytical systems Process unstructured data into a form suitable for analysis and assist in analysis of the processed data Working directly with the technology and engineering teams to integrate data processing and business objectives Monitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful design Create software architecture and design documentation for the supported solutions and overall best practices and patterns Support team with technical planning, design, and code reviews including peer code reviews Provide Architecture and Technical Knowledge training and support for the solution groups Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA. Stay current with emerging trends, making recommendations as needed to help the organization innovate Qualifications Bachelors Degree in Computer Science, Information Technology or other relevant field At least 2 to 6 years of recent experience in Software Engineering, Data Engineering or Big Data Ability to work effectively within a team in a fast-paced changing environment Knowledge of or direct experience with Databricks and/or Spark. Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives. Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources Knowledge of data cleaning, wrangling, visualization and reporting Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience Familiarity of databases, BI applications, data quality and performance tuning Excellent written, verbal and listening communication skills Comfortable working asynchronously with a distributed team Preferred Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and Lambda. Experience working in an agile environment Practical Knowledge of Linux #software Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ********************** Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at *************** on Facebook at *********************** and on Twitter @AbbottNews and @AbbottGlobal The base pay for this position is $75,300.00 - $150,700.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY:Product DevelopmentDIVISION:ADC Diabetes CareLOCATION:United States of America : RemoteADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 10 % of the TimeMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: ************************************************************ EEO is the Law link - Espanol: ************************************************************

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

We are seeking a skilled and solution-oriented Data Engineer to contribute to the development of our growing Data Engineering function. This role will be instrumental in designing and optimizing data workflows, building domain-specific pipelines, and enhancing platform services. The ideal candidate will help evolve our Snowflake-based data platform into a scalable, domain-oriented architecture that supports business-critical analytics and machine learning initiatives. Responsibilities The candidate is expected to: Design and build reusable platform services, including pipeline frameworks, CI/CD workflows, data validation utilities, data contracts, lineage integrations Develop and maintain data pipelines for sourcing, transforming, and delivering trusted datasets into Snowflake Partner with Data Domain Owners to onboard new sources, implement data quality checks, and model data for analytics and machine learning use cases Collaborate with the Lead Data Platform Engineer and Delivery Manager to deliver monthly feature releases and support bug remediation Document and promote best practices for data pipeline development, testing, and deployment Qualifications The successful candidate will possess strong analytical skills and attention to detail. Additionally, the ideal candidate will possess: 3-6 years of experience in data engineering or analytics engineering Strong SQL and Python skills; experience with dbt or similar transformation frameworks Demonstrated experience building pipelines and services on Snowflake or other modern cloud data platforms Understanding of data quality, validation, lineage, and schema evolution Background in financial or market data (trading, pricing, benchmarks, ESG) is a plus Strong collaboration and communication skills, with a passion for enabling domain teams Privacy Notice for California Applicants Artisan Partners Limited Partnership is an equal opportunity employer. Artisan Partners does not discriminate on the basis of race, religion, color, national origin, gender, age, disability, marital status, sexual orientation or any other characteristic protected under applicable law. All employment decisions are made on the basis of qualifications, merit and business need. #LI-Hybrid/span>

About the Role: We are seeking a highly skilled and motivated Data Engineer to join our team as an individual contributor. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data-driven initiatives. You will work closely with cross-functional teams to ensure data availability, quality, and performance across the organization. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Key Responsibilities: * Design, develop, and maintain robust data pipelines using Java and Python. * Build and optimize data workflows on AWS using services such as EMR, Glue, Lambda, and NoSQL databases. * Leverage open-source frameworks to enhance data processing capabilities and performance. * Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions. * Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives. * Ensure data integrity, security, and compliance with internal and external standards. Required Qualifications: * 5+ years of hands-on experience in software development using Java and Python (Spring Boo). * 1+ years of experience working with AWS services including EMR, Glue, Lambda, and NoSQL databases. * 3+ years of experience working with open-source data processing frameworks (e.g., Apache Spark, Kafka, Airflow). * 2+ years of experience in Agile software development environments. * Strong problem-solving skills and the ability to work independently in a fast-paced environment. * Excellent communication and collaboration skills. Preferred Qualifications: * Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). * Familiarity with data governance and data quality best practices. * Exposure to data lake and data warehouse architectures. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Charter Manufacturing is a fourth-generation family-owned business where our will to grow drives us to do it better. Join the team and become part of our family! Applicants must be authorized to work for ANY employer in the U.S. Charter Manufacturing is unable to sponsor for employment visas at this time. This position is hybrid, 3 days a week in office in Mequon, WI. BI&A- Lead Data Engineer Charter Manufacturing continues to invest in Data & Analytics. Come join a great team and great culture leveraging your expertise to drive analytics transformation across Charter's companies. This is a key role in the organization that will provide thought leadership, as well as add substantial value by delivering trusted data pipelines that will be used to develop models and visualizations that tell a story and solve real business needs/problems. This role will collaborate with team members and business stakeholders to leverage data as an asset driving business outcomes aligned to business strategies. Having 7+ years prior experience in developing data pipelines and partnering with team members and business stakeholders to drive adoption will be critical to the success of this role. MINIMUM QUALIFICATIONS: Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred At least seven years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks Proven project experience designing, developing, deploying, and maintaining data pipelines used to support AI, ML, and BI using big data solutions (Azure, Snowflake) Strong knowledge in Azure technologies such as Azure Web Application, Azure Data Explorer, Azure DevOps, and Azure Blob Storage to build scalable and efficient data pipelines Strong knowledge using programming languages such as R, Python, C#, and Azure Machine Learning Workspace development Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Experience with database technologies such as SQL, Oracle, and Snowflake Prior experience with ETL/ELT data ingestion into data lakes/data warehouses for analytics consumption Strong SQL skills Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Passionate about teaching, coaching, and mentoring others Strong problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve problems Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options Demonstrated experience delivering business value by structuring and analyzing large, complex data sets Demonstrated initiative, strong sense of accountability, collaboration, and known as a trusted business partner PREFERRED QUALIFICATIONS INCLUDES EXPERIENCE WITH: Manufacturing industry experience specifically heavy industry, supply chain and operations Designing and supporting data integrations with ERP systems such as Oracle or SAP MAJOR ACCOUNTABILITIES: Designs, develops, and supports data pipelines for batch and streaming data extraction from various sources (databases, API's, external systems), transforming it into the desired format, and load it into the appropriate data storage systems Collaborates with data scientists and analysts to optimize models and algorithms for in accordance with data quality, security, and governance policies Ensures data quality, consistency, and integrity during the integration process, performing data cleansing, aggregation, filtering, and validation as needed to ensure accuracy, consistency, and completeness of data Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency. Monitors and tunes data pipelines for performance, scalability, and efficiency resolving performance bottlenecks Establish architecture patterns, design standards, and best practices to accelerate delivery and adoption of solutions Assist, educate, train users to drive self-service enablement leveraging best practices Collaborate with business subject matter experts, analysts, and offshore team members to develop and deliver solutions in a timely manner Embraces and establishes governance of data and algorithms, quality, standards, and best practices, ensuring data accuracy We offer comprehensive health, dental, and vision benefits, along with a 401(k) plan that includes employer matching and profit sharing. Additionally, we offer company-paid life insurance, disability coverage, and paid time off (PTO).

At Wipfli, people count. At Wipfli, our people are core to everything we do-the catalyst behind our ability to create exceptional impact and extraordinary results. We believe in flexibility. We focus on relationships. We encourage each individual to follow their own path. People truly matter and they feel it. For those looking to make a difference and find a professional home, Wipfli offers a career-defining opportunity. Position Overview: This role will take direction from the Information Team Director and will be responsible for contributing to the continuous advancement of a modern data lakehouse built to support a rapidly growing firm's desire to democratize its data asset. Responsibilities Responsibilities: + Lead influence and consensus building efforts for recommended solutions + Support and document the continued evolution of the firm's data lakehouse using the medallion architecture + Translate requirements into effective data models to support visualizations, AI\ML models, etc. leveraging design best practices and team standards using approved tools + Develop in data technologies such as Databricks, Microsoft Azure Data Factory, Python, t-SQL + Manage the execution of project life cycle activities in accordance with the Information Team scrum processes and tools such as Microsoft Azure DevOps + Achieve/maintain proficiency in required skills identified by the Information Team to effectively deliver defined products + Collaborate with team members to evolve products and internal processes + Mentor other Engineers and other IT associates as needed. + Perform on-call support for after business hours as needed. Knowledge, Skills and Abilities Qualifications: + Demonstrated success in working on a modern data platform with Databricks experience being preferred. Accredited certification(s) and/or 5+ years hands on desired. + Naturally curious with the ability to learn and implement new concepts quickly. + A mastery of extracting and landing data from source systems via all access methods. Extra credit for Workday RaaS and/or Microsoft Dynamics/Dataverse skills. + A commitment to operational standards, quality, and accountability for testing, code reviews/management and documentation. + Engaged in the virtual team experience leveraging video conferencing (cameras on) and a focus on relationship building. Travel is rare, but we do occasionally organize in-person events. Benjamin Dzanic, from our recruiting team, will be guiding you through this process. Visit his LinkedIn (************************************* page to connect! #LI-REMOTE #LI-BD1 Additional Details Additional Details: Wipfli is an equal opportunity/affirmative action employer. All candidates will receive consideration for employment without regards to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identify, veteran status, disability, or any other characteristics protected by federal, state, or local laws. Wipfli is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or participate in our recruiting process, please send us an email at ************* Wipfli values fair, transparent, and competitive compensation, considering each candidate's unique skills and experiences. The estimated base pay range for this role is $107,000 to $144,000, with offers typically not made at the maximum, allowing for future salary increases. The actual salary at the time of offer depends on business related factors like location, skills, experience, training/education, licensure, certifications, business needs, current associate pay, and relevant employment laws. Individuals may be eligible for an annual discretionary bonus, subject to participation rules and based on a variety of factors including, but not limited to, individual and Firm performance. Wipfli cares about our associates and offers a variety of benefits to support their well-being. Highlights include 8 health plan options (both HMO & PPO plans), dental and vision coverage, opportunity to enroll in HSA with potential Firm contribution and an Employee Assistance Program. Other benefits include firm-sponsored basic life and short and long-term disability coverage, a 401(k) savings plan & profit share as well as Firm matching contribution, well-being incentive, education & certification assistance, flexible time off, family care leave, parental leave, family formation benefits, cell phone reimbursement, and travel rewards. Voluntary benefit offerings include critical illness & accident insurance, hospital indemnity insurance, legal, long-term care, pet insurance, ID theft protection, and supplemental life/AD&D. Eligibility for all benefits programs is dependent on annual hours expectation, position status/level and location. "Wipfli" is the brand name under which Wipfli LLP and Wipfli Advisory LLC and its respective subsidiary entities provide professional services. Wipfli LLP and Wipfli Advisory LLC (and its respective subsidiary entities) practice in an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable law, regulations, and professional standards. Wipfli LLP is a licensed independent CPA firm that provides attest services to its clients, and Wipfli Advisory LLC provides tax and business consulting services to its clients. Wipfli Advisory LLC and its subsidiary entities are not licensed CPA firms. Job LocationsUS Job ID 2025-7427 Category Internal IT Remote Yes

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Job Description: Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions will be key as you contribute in providing solutions to work related problems. Let's work together to achieve greatness! Responsibilities: + Create new data pipelines leveraging existing data ingestion frameworks, tools + Orchestrate data pipelines using the Azure Data Factory service. + Develop/Enhance data transformations based on the requirements to parse, transform and load data into Enterprise Data Lake, Delta Lake, Enterprise DWH (Synapse Analytics) + Perform Unit Testing, coordinate integration testing and UAT Create HLD/DD/runbooks for the data pipelines + Configure compute, DQ Rules, Maintenance Performance tuning/optimization Basic Qualifications: + Minimum of 3 years of work experience with one or more of the following: Databricks Data Engineering, DLT, Azure Data Factory, SQL, PySpark, Synapse Dedicated SQL Pool, Azure DevOps, Python Preferred Qualifications: + Azure Function Apps + Azure Logic Apps + Precisely & COSMOS DB + Advanced proficiency in PySpark. + Advanced proficiency in Microsoft Azure Databricks, Azure DevOps, Databricks Delta Live Tables and Azure Data Factory. + Bachelor's or Associate's degree Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location: California - $47.69 - $57.69 Cleveland - $47.69 - $57.69 Colorado - $47.69 - $57.69 District of Columbia - $47.69 - $57.69 Illinois - $47.69 - $57.69 Minnesota - $47.69 - $57.69 Maryland - $47.69 - $57.69 Massachusetts - $47.69 - $57.69 New York/New Jersey - $47.69 - $57.69 Washington - $47.69 - $57.69 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers - New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram. Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring. Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law. Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system. Job Description: Associate Data Engineer As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our mid‑market and enterprise clients. Working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric), you will transform raw data into trusted, analytics‑ready assets that power dashboards, advanced analytics, and AI use cases. You'll collaborate with solution architects, analysts, and client stakeholders while sharpening both your technical depth and consulting skills. Key Responsibilities: * Data Engineering: Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for performance, security, and cost control. * Modeling & Storage: Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion‑style layers, and dimensional/semantic models for Power BI. * Quality & Governance: Build automated data‑quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub. * Client Delivery: Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non‑technical audiences. * Continuous Improvement: Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators. Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions. Qualifications: * Education - Bachelor's in Computer Science, Information Systems, Engineering, or related field (or equivalent experience) * Experience - 2-3 years delivering production data solutions, preferably in a consulting or client‑facing role. * Technical Skills: Strong T‑SQL for data transformation and performance tuning. Python for data wrangling, orchestration, or notebook‑based development. Hands‑on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines). * Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred * Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred * Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred * Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred

What you will do In this exciting role you will lead the effort to build and deploy predictive and prescriptive analytics in our next generation decision intelligence platform. The work will require helping to build /maintain a digital twin of our production supply chain, perform optimization and forecasting, and connect our analytics and ML solutions to enable our people to make the best data driven decisions possible! This will require working with predictive, prescriptive analytics and decision-intelligence across the US / Canada region at Clarios. You'll apply modern statistics, machine learning and AI to real manufacturing and supply chain problems, working side-by-side with our business stakeholders and our global analytics team to deploy transformative solutions- not just models. How you will do it Build production-ready ML/statistical models (regression/classification, clustering, time series, linear / non-linear optimizations) to detect patterns, perform scenario analytics and generate actionable insights / outcomes. Wrangle and analyze data with Python and SQL; perform feature engineering, data quality checks, and exploratory analysis to validate hypotheses and model readiness. Develop digital solutions /visuals in Power BI and our decision intelligence platform to communicate results and monitor performance with business users. Partner with stakeholders to clarify use cases, translate needs into technical tasks/user stories, and iterate solutions in sprints. Manage model deployment (e.g., packaging models, basic MLOps) with guidance from Global Analytics Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and continuous improvement of delivered analytics. Deliver value realization as part of our business analytics team to drive positive business outcomes for our metals team. Deliver incremental value quickly (first dashboards, baseline models) and iterate with stakeholder feedback. Balance rigor with practicality-choose the simplest model that solves the problem and can be supported in production. Keep data quality front-and-center; instrument checks to protect decisions from drift and bad inputs. Travel: Up to ~10% for plant or stakeholder visits What we look for Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related field-or equivalent practical experience. 1-3 years (or strong internship/co-op) applying ML/statistics on business data. Python proficiency (pandas, scikit-learn, SciPy/statsmodels) and SQL across common platforms (e.g., SQL Server, Snowflake). Core math/stats fundamentals: probability, hypothesis testing/DoE basics, linear algebra, and the principles behind common ML methods. Data visualization experience with Power BI / Decision Intelligence Platforms for analysis and stakeholder storytelling. Ability to work in cross-functional teams and explain technical work clearly to non-technical partners. Candidates must be self-driven, curious, and creative Preferred Cloud & big data exposure: Azure (or AWS), Databricks/Spark; Snowpark is a plus. Understanding of ETL/ELT tools such as ADF, SSIS, Talend, Informatica, or Matillion. Experience in an Decision Intelligence platform like Palantir, Aera, etc building and deploying models. MLOps concepts (model validation, monitoring, packaging with Docker/Kubernetes). Deep learning basics (PyTorch/Keras) for the right use cases. Experience contributing to agile backlogs, user stories, and sprint delivery. 3+ years of experience in data analytics Master's Degree in Statistics, Economics, Data Science or computer science. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process by emailing Special.Accommodations@Clarios.com. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report. We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To all recruitment agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future. Milliman is seeking a technically savvy, analytically strong Healthcare Data Analyst Lead to manage analytics and technology projects as well as coach and mentor junior analytical staff. The ideal candidate is someone seeking to join a challenging, yet rewarding environment focused on delivering world-class analytics across a variety of healthcare-related domains to a variety of healthcare entities. Who We Are Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Job Responsibilities Lead and manage analytics and technology projects from data ingestion through delivery. Design, develop, and optimize data processes and workflows supporting large healthcare datasets. Perform and oversee ETL, validation, and transformation tasks for claims, eligibility, and pharmacy data. Guide project teams through the full “data-to-deliverable” lifecycle, ensuring accuracy and efficiency. Build analytical models, dashboards, and data pipelines to support consulting engagements. Collaborate with consultants, actuaries, and project managers to interpret results and deliver client insights. Review and approve technical work from peers and junior analysts to ensure quality standards are met. Mentor, coach, and delegate to analytical staff to strengthen technical and professional development. Contribute to innovation and process improvement initiatives, including automation, cloud enablement, and AI integration. Participate in client meetings and presentations, occasionally requiring travel. Minimum requirements Bachelor's degree required (Computer Science, Management Information Systems, Computer Engineering, Math, Actuarial Science, Data Analytics, or related degree is preferred) 6+ years of experience in healthcare data analytics or a related technical analytics role. Advanced proficiency with SQL and Microsoft Excel for data analysis, validation, and automation. Strong programming skills in Python, R, or other analytical languages. Experience with data visualization and reporting tools (e.g., Power BI, Tableau, or R Shiny). Solid understanding of healthcare data structures, including claims, eligibility, and provider data. Proven ability to lead multiple projects simultaneously while mentoring and developing junior team members. Experience with cloud data technologies (e.g., Azure Data Factory, Databricks, Snowflake, AWS Redshift, or similar). Exposure to AI or Generative AI tools for data analysis, automation, or insight generation is preferred, but not required. Competencies and Behaviors that Support Success in this Role Deep understanding of database architecture and large-scale healthcare data environments. Strong analytical thinking and the ability to translate complex data into actionable insights. Excellent communication skills, including the ability to explain technical concepts to non-technical audiences. Highly organized, detail-oriented, and able to manage competing priorities. Collaborative and proactive leadership style with a focus on mentorship and knowledge-sharing. Passion for applying analytics to improve healthcare performance, quality, and cost outcomes. Demonstrated accountability for quality, timelines, and client satisfaction. Fast learner who thrives in a dynamic, innovation-driven environment. The Team The Healthcare Data Analyst Lead will join a team that thrives on leveraging data, analytics, and technology to deliver meaningful business value. This is a team with technical aptitude and analytical prowess that enjoys building efficient and scalable products and processes. Ultimately, we are passionate about effecting change in healthcare. We also believe that collaboration and communication are cornerstones of success. The Healthcare Data Analyst Lead will also join a mix of Healthcare Analysts, Leads, Consultants, and Principals. In addition, as part of the broader Milliman landscape, they will work alongside Healthcare Actuaries, Pharmacists, Clinicians, and Physicians. We aim to provide everyone a supportive environment, where we foster learning and growth through rewarding challenges. Salary: The overall salary range for this role is $104,900 - $199,065. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Notable New York City, Newark, San Jose, San Francisco, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $120,635 - $199,065. All other locations the salary range is $104,900 - $173,100. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Location : It is preferred that candidates work on-site at our Brookfield, Wisconsin office, however, remote candidates will be considered. The expected application deadline for this job is May 25, 2026. Benefits We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners. Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges. 401(k) Plan - Includes a company matching program and profit-sharing contributions. Discretionary Bonus Program - Recognizing employee contributions. Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses. Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. Holidays - A minimum of 10 observed holidays per year. Family Building Benefits - Includes adoption and fertility assistance. Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria. Life Insurance & AD&D - 100% of premiums covered by Milliman. Short-Term and Long-Term Disability - Fully paid by Milliman. Equal Opportunity: All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.