Senior data scientist jobs in Grand Rapids, MI - 32 jobs

We are seeking a Data Scientist professional who is innovative, analytical, solutions-oriented, and an effective communicator to join our team. Helping Our People Thrive - wellbeing ensures our employees feel seen, heard and valued * Steelcase offers competitive wages and benefits, to support your life in and out of work * Learning is the foundation of everything we do, and there is no shortage of development opportunities to grow and upskill * Culture is a lifestyle at Steelcase and we live it every day * Opportunity to make an impact on the world through Steelcase's commitment to people and planet Supporting Meaningful Work - work brings deeper motivation, purpose and fulfillment to our lives: Data science is the practice of generating novel information, which cannot be found by lookup in the raw or explicit data available, by statistical and mathematical techniques in order to augment and/or automate decisions and processes critical to business success. You will work as an internal consultant in relationship with business partners and experts in diverse business and technical domains to conceive, design, develop, and deliver solutions to complex and ambiguous problems by the application of data science or Artificial Intelligence (AI). If given the opportunity to leverage any of the skills or abilities below, you'll find a way, whether you have the skill now or acquire it through study, practice, or learning from experts. Minimum Qualifications * Bachelor's degree in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Predictive Analytics, Operations Research). * Ability to act as an internal consultant to design and deliver solutions to complex business problems using data science or AI. * Skill in framing business problems as data problems and communicating solutions to diverse audiences. * Experience collaborating on Agile teams to clarify requirements and ensure quality delivery. * Ability to prepare and work with structured and unstructured data, including cleansing, harmonization, augmentation, and feature engineering. * Ability to apply advanced analytical methods including operations research, management science, statistics, time series forecasting (ARIMAX, exponential smoothing, neural networks), machine learning (supervised, unsupervised, reinforcement), and natural language processing (traditional and neural network-based). * Experience in developing and deploying predictive models using techniques such as regression, decision forests, gradient boosting, SVMs, neural networks (MLPs, RNNs, CNNs, transformers), transfer learning, and signal processing; monitor performance, drift, and retraining needs. * Proficiency in open-source programming (Python or R) and data visualization libraries (matplotlib, ggplot2). * Proficiency with distributed computing (Databricks, Spark) and optimization tools (Google OR Tools, Gurobi). * Prior independent, academic, internship, or work experience applying data science methods. Desired Skills and Experience * Advanced degree in a quantitative or technical field (e.g., Statistics, Mathematics, Data Science, Predictive Analytics, Operations Research). * Familiarity with advanced visualization tools (Tableau, Power BI). * General knowledge of the manufacturing industry and business functions is preferred. Work Authorization: Qualified applicants must be authorized to work in the United States on a full-time basis. Steelcase will not provide support for or sponsor work authorization and/or visas for this role. Why People Choose to Work with Us: At Steelcase, we put people at the center of everything we do. We understand the role of work and believe that it can bring meaning and purpose to the lives of our customers and our employees. We prioritize supporting our employees both in and out of work, in all aspects of their lives. When we bring our talents together, we make a positive lasting impact through our work and communities. Doing better for people and planet - when we do better, we help the world work better Steelcase is a global design and thought leader in the world of work. Along with our expansive community of brands, we design and manufacture innovative furnishings and solutions to help people do their best work in the many places where work happens. Why People Choose to Work with Us: At Steelcase, we put people at the center of everything we do. We understand the role of work and believe that it can bring meaning and purpose to the lives of our customers and our employees. We prioritize supporting our employees both in and out of work, in all aspects of their lives. When we bring our talents together, we make a positive lasting impact through our work and communities. Steelcase provides employment opportunities to all qualified employees and applicants without regard to race, color, creed, genetic information, religion, national origin, gender, sexual orientation, gender identity and expression, age, disability, or veteran status and bases all employment decisions only on valid job requirements. If we can make the application process easier through accommodation, please email us at ******************. The annual base salary range for this position is $98,000 - $118,000. Please note that the salary information is a general guideline only. Steelcase considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. #LI-Onsite #LI-DM1

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 January 31, 2026 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 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. 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. Requisition code: 316523 Job ID 316523

Why join us? Our purpose is to design for the good of humankind. It's the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone. About the Role We're looking for an experienced and adaptable Data Scientist to join our growing AI & Data Science team. You'll be part of a small, highly technical group focused on delivering impactful machine learning, forecasting, and generative AI solutions. In this role, you'll work closely with stakeholders to translate business challenges into well-defined analytical problems, design and validate models, and communicate results in clear, actionable terms. You'll collaborate extensively with our ML Engineer to transition solutions from experimentation to production, ensuring models are both effective and robust in real-world environments. You'll be expected to quickly prototype and iterate on solutions, adapt to new tools and approaches, and share knowledge with the broader organization. This is a hands-on role with real impact and room to innovate. Key Responsibilities Partner with business stakeholders to identify, scope, and prioritize data science opportunities. Translate complex business problems into structured analytical tasks and hypotheses. Design, develop, and evaluate machine learning, forecasting, and statistical models, considering fairness, interpretability, and business impact. Perform exploratory data analysis, feature engineering, and data preprocessing. Rapidly prototype solutions to assess feasibility before scaling. Interpret model outputs and clearly communicate findings, implications, and recommendations to both technical and non-technical audiences. Collaborate closely with the ML Engineer to transition models from experimentation into scalable, production-ready systems. Develop reproducible code, clear documentation, and reusable analytical workflows to support org-wide AI adoption. Stay up to date with advances in data science, AI/ML, and generative AI, bringing innovative approaches to the team. Required Technical Skills Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field, with 3+ years of applied experience in data science. Strong foundation in statistics, probability, linear algebra, and optimization. Proficiency with Python and common data science libraries (Pandas, NumPy, Scikit-learn, XGBoost, PyTorch or TensorFlow). Experience with time series forecasting, regression, classification, clustering, or recommendation systems. Familiarity with GenAI concepts and tools (LLM APIs, embeddings, prompt engineering, evaluation methods). Strong SQL skills and experience working with large datasets and cloud-based data warehouses (Snowflake, BigQuery, etc.). Solid understanding of experimental design and model evaluation metrics beyond accuracy. Experience with data visualization and storytelling tools (Plotly, Tableau, Power BI, or Streamlit). Exposure to MLOps/LLMOps concepts and working in close collaboration with engineering teams. Soft Skills & Qualities Excellent communication skills with the ability to translate analysis into actionable business recommendations. Strong problem-solving abilities and business acumen. High adaptability to evolving tools, frameworks, and industry practices. Curiosity and continuous learning mindset. Stakeholder empathy and ability to build trust while introducing AI solutions. Strong collaboration skills and comfort working in ambiguous, fast-paced environments. Commitment to clear documentation and knowledge sharing. Who We Hire? Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We're committed to equal opportunity employment, including veterans and people with disabilities. This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_********************.

Why join us? Our purpose is to design for the good of humankind. It's the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone. About the Role We're looking for an experienced and adaptable Data Scientist to join our growing AI & Data Science team. You'll be part of a small, highly technical group focused on delivering impactful machine learning, forecasting, and generative AI solutions. In this role, you'll work closely with stakeholders to translate business challenges into well-defined analytical problems, design and validate models, and communicate results in clear, actionable terms. You'll collaborate extensively with our ML Engineer to transition solutions from experimentation to production, ensuring models are both effective and robust in real-world environments. You'll be expected to quickly prototype and iterate on solutions, adapt to new tools and approaches, and share knowledge with the broader organization. This is a hands-on role with real impact and room to innovate. Key Responsibilities * Partner with business stakeholders to identify, scope, and prioritize data science opportunities. * Translate complex business problems into structured analytical tasks and hypotheses. * Design, develop, and evaluate machine learning, forecasting, and statistical models, considering fairness, interpretability, and business impact. * Perform exploratory data analysis, feature engineering, and data preprocessing. * Rapidly prototype solutions to assess feasibility before scaling. * Interpret model outputs and clearly communicate findings, implications, and recommendations to both technical and non-technical audiences. * Collaborate closely with the ML Engineer to transition models from experimentation into scalable, production-ready systems. * Develop reproducible code, clear documentation, and reusable analytical workflows to support org-wide AI adoption. * Stay up to date with advances in data science, AI/ML, and generative AI, bringing innovative approaches to the team. Required Technical Skills * Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field, with 3+ years of applied experience in data science. * Strong foundation in statistics, probability, linear algebra, and optimization. * Proficiency with Python and common data science libraries (Pandas, NumPy, Scikit-learn, XGBoost, PyTorch or TensorFlow). * Experience with time series forecasting, regression, classification, clustering, or recommendation systems. * Familiarity with GenAI concepts and tools (LLM APIs, embeddings, prompt engineering, evaluation methods). * Strong SQL skills and experience working with large datasets and cloud-based data warehouses (Snowflake, BigQuery, etc.). * Solid understanding of experimental design and model evaluation metrics beyond accuracy. * Experience with data visualization and storytelling tools (Plotly, Tableau, Power BI, or Streamlit). * Exposure to MLOps/LLMOps concepts and working in close collaboration with engineering teams. Soft Skills & Qualities * Excellent communication skills with the ability to translate analysis into actionable business recommendations. * Strong problem-solving abilities and business acumen. * High adaptability to evolving tools, frameworks, and industry practices. * Curiosity and continuous learning mindset. * Stakeholder empathy and ability to build trust while introducing AI solutions. * Strong collaboration skills and comfort working in ambiguous, fast-paced environments. * Commitment to clear documentation and knowledge sharing. Who We Hire? Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We're committed to equal opportunity employment, including veterans and people with disabilities. This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_********************.

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. **AI & Data -** **Data Modeler - Senior** We are seeking a highly skilled Senior Consultant Data Modeler with expertise in delivering data models that meet business requirements. 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 models and solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Modeler, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Lead the design and development of **conceptual, logical, and physical data models** for the Enterprise Data Warehouse (EDW), adhering to **Kimball dimensional methodology (dimensional modeling approach), a core skill for this role** . + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 7+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Cloud knowledge and/or certification. Preferably Azure DP-203 + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + Spanish speaking + Italian speaking **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. 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 ************************** .

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies to help them build innovative businesses that keep them one step closer to their customers and one step ahead of the competition. We offer a meaningful work environment for employees, attractive and interesting engagements for consultants, and cutting-edge digital innovation for our customers. We delight in helping our customers execute their digital vision. Big projects or small, Halo Group knows that by combining the highest quality talent with our unwavering support, we will become an invaluable extension of the team. Halo Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all areas of product/project governance, UX/UI, multi-platform applications, quality assurance/testing, cloud computing, and data analytics. Since its inception, Halo Group has been recognized for numerous awards, including: - INC 5000 - Future 50 - 101 Best and Brightest - Michigan 50 Companies to Watch - Goldline Research - “Most Dependable Companies” - Ernst & Young - “Entrepreneur of the Year” Finalist Job Description Mandatory 1. Need to have experience with business Rules, Stored Procedures and Optimizations 2. Strong Experience with SQL Server 2012, 2014 and good knowledge on in-memory functions. 3. Hands-on SQL Server development experience including DW schema design, implementation and optimization 4. Strong experience with SQL Data modeling and designing the data marts for different source of data. 5. Advanced Data Modeling Skills with SQL database including good skills in designing complex queries, stored procedures 6. Ability to move between high level architectural review/design and the "roll up the sleeves" level of actually doing all phases of a solution delivery project 7. Strong working experience with SSIS, SSRS and/or SSAS 8. Experience with any of the following is a plus: Cloud IaaS/PaaS, Azure, Cloud Integration etc. 9. Responsible for performance tuning of database functions, SQL queries, and stored procedures to ensure scalability demands are satisfied. 10. A deep understanding of, and experience using and explaining all aspects of, relational database design, multidimensional database design, OLTP, OLAP, KPIs, Scorecards, and Dashboards 11. Experience leading technical discussions on data warehouse appliance technology (hardware, software, database, storage). 12. Gather and document functional and technical requirements, and translate requirements into reporting solutions, analytic tools and dashboards 13. Develop solutions patterns, data flow diagrams, data models and architectural specifications 14. Integration experience with ETL (Working Experience with SAP BODS is a plus) 15. Understanding of Big Data, Hadoop eco systems is a plus 16. Knowledge and work experience developing solutions using Programming language like Java, C++, Python is a plus 17. Experience in integration with Analytical Tool such as Tableau / Business Objects is a plus 18. Knowledge of the Data and Analytics and Agile Implementation Lifecycle 19. Client-centric mentality: reliable, professional, exceeds expectations 20. Able to handle projects independently and manage client expectations and deliverables in a timely manner 21. Ability to lead a team of 3 - 5 consultants and mentor junior consultants 22. Excellent organizational skills to work in a fast-paced environment and manage and prioritize multiple tasks simultaneously 23. Demonstrated skill at presenting complex development topics to technical and business users Qualifications Strong working experience with SSIS, SSRS and/or SSAS Experience with any of the following is a plus: Cloud IaaS/PaaS, Azure, Cloud Integration etc. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Title: Data EngineerSkill Category: Data EngineeringWork Location: Grand Rapids, MIOnsite/Remote: HybridHourly C2C Rate: $80/hr Job Description: We are looking for a Data Engineer with over 6 years of industry experience in business application design, development, implementation, and solution architecture. The ideal candidate should have experience with Databricks and building and designing data and analytics on enterprise solutions such as: Azure Data Factory Azure Function App Log Analytics Databricks Synapse Power BI ADLS Gen2 Logic Apps Required Skills: Data Classification Data Modeling Data Architecture Data Quality Design Network Components Solution Architecture Teamwork Technical Training .Net Core Agile C# Data Warehouse Infrastructure Product Management Functional Requirements Interfaces Research Subsystems Support .Net Python Data Engineering Data Analysis Data Science Responsibilities: Design, code, test, and implement data movement, dashboarding, and analytical assets. Develop system documentation according to SAFe Agile principles and industry standards. Evaluate architectural options and define the overall architecture of enterprise Data Lake and Data Warehouse. Provide subject matter expertise and technical consulting support on vendor or internal applications and interfaces. Develop Azure Function App using C# and .Net Core. Define functional and non-functional requirements, including performance monitoring, alerting, and code management. Partner with business areas to gather requirements for Data and Analytics and design solutions. Define major elements and subsystems and their interfaces. Mentor and coach team members. Engage with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions. Interface with the Product Manager and IT partners to define and estimate features for agile teams. Conduct industry research, facilitate new product and vendor evaluations, and assist in vendor selection. Qualifications: 6+ years of industry experience in business application design, development, implementation, and solution architecture. Experience with Azure Data Factory, Azure Function App, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, and Logic Apps. Databricks experience is required. Experience designing data pipelines and implementing data quality, governance, and security compliance in Azure architecture. Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering, or related discipline or equivalent work experience and technical training. Excellent written and oral communication skills. Experience in Power BI, Data Modeling, Data Classification, Data Architecture, and reporting. In-depth understanding of computer, storage, and network components, including backup, monitoring, and DR environment requirements. Preferred knowledge and experience in Python and API architecture in Azure. SAFe certification or training is a plus. Experience with diverse technical configurations, technologies, and processing environments. Exceptional interpersonal skills, including teamwork, facilitation, and negotiation. Must Be Included with Submittal: Full Legal Name Phone Email Current Location Rate Work Authorization Willingness to Relocate Confirmation that the candidate is or will be on your W2

Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind. We know we couldn't take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud. We're seeking an exceptional Staff Data Engineer to help us take our data platform to the next level. This is a high-impact role where you'll architect and build scalable data infrastructure, empower data-driven decision-making, and help shape the future of fraud prevention. We're scaling fast, and you'll have the chance to shape the future of our data platform. You will collaborate with data scientists, engineers, and business stakeholders to ensure high-quality, actionable data insights to enable business outcomes.What You Will Do Design and build robust, scalable, secure data pipelines and infrastructure to support analytics, product intelligence, and machine learning. Lead data architecture decisions, ensuring high performance, reliability, and maintainability across our platform. Collaborate cross-functionally with product, engineering, and business teams to deliver data solutions that drive strategic insights and operational excellence. Champion data quality and governance, implementing best practices for data validation, lineage, and observability. Mentor and guide other data engineers, fostering a culture of technical excellence and continuous learning. What We're Looking For Proven experience as a staff-level data engineer in a fast-paced, product-driven environment. Engineering experience of 8+ years. Experience in leading teams of other engineers to build a long-term technical vision and plans to achieve it. Deep expertise in cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).Strong programming skills in Python or Scala, and proficiency with SQL. Experience with real-time data processing (e.g., Kafka, Spark Streaming) and data modeling for analytics and ML. A growth mindset, strong ownership, and a passion for solving complex problems that matter. Preferred Experience Experience in fintech, cybersecurity, or fraud prevention. Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA). Contributions to open-source data tools or communities. What We Offer Flexible vacation 12 company-paid holidays 10 paid sick days No work on your birthday Health, dental, and vision Insurance (including a $0 option) 401(k) with matching, and no waiting period Equity Life insurance Generous parental paid leave Wellness reimbursement of $300/year Remote worker reimbursement of $300/year Professional development reimbursement Competitive pay An award-winning culture Not sure if you check all the boxes? Apply anyway! We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we'd love to hear from you. We're looking for people who are eager to learn, adapt, and solve challenges-so if that sounds like you, don't let a checklist hold you back! Change doesn't happen overnight, and the same goes for us here at CertifID. We PROGRESS collectively and individually as we grow, abiding by our core values. Protect the Customer, Raise the Bar, Operate with Urgency, Grow with Grit, Ride the Wave, Enthusiasm Spreads, Stay Connected, Send It.

**Advance Local** is looking for a **Senior Data Engineer** to design, build, and maintain the enterprise data infrastructure that powers our cloud data platform. This position will combine your deep technical expertise in data engineering with team leadership responsibilities for data engineering, overseeing the ingestion, integration, and reliability of data systems across Snowflake, AWS, Google Cloud, and legacy platforms. You'll partner with data product and across business units to translate requirements into technical solutions, integrate data from numerous third-party platforms, (CDPs, DMPs, analytics platforms, marketing tech) into central data platform, collaborate closely with the Data Architect on platform strategy and ensure scalable, well-engineered solutions for modern data infrastructure using infrastructure as code and API-driven integrations. The base salary range is $120,000 - $140,000 per year. **What you'll be doing:** + Lead the design and implementation of scalable data ingestion pipelines from diverse sources into Snowflake. + Partner with platform owners across business units to establish and maintain data integrations from third party systems into the central data platform. + Architect and maintain data infrastructure using IAC, ensuring reproducibility, version control and disaster recovery capabilities. + Design and implement API integrations and event-driven data flows to support real time and batch data requirements. + Evaluate technical capabilities and integration patterns of existing and potential third-party platforms, advising on platform consolidation and optimization opportunities. + Partner with the Data Architect and data product to define the overall data platform strategy, ensuring alignment between raw data ingestion and analytics-ready data products that serve business unit needs. + Develop and enforce data engineering best practices including testing frameworks, deployment automation, and observability. + Support rapid prototyping of new data products in collaboration with data product by building flexible, reusable data infrastructure components. + Design, develop, and maintain scalable data pipelines and ETL processes; optimize and improve existing data systems for performance, cost efficiency, and scalability. + Collaborate with data product, third-party platform owners, Data Architects, Analytics Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver technical solutions that enable business outcomes across the organization. + Implement data quality validation, monitoring, and alerting systems to ensure reliability of data pipelines from all sources. + Develop and maintain comprehensive documentation for data engineering processes and systems, architecture, integration patterns, and runbooks. + Lead incident response and troubleshooting efforts for data pipeline issues, ensuring minimal business impact. + Stay current with the emerging data engineering technologies, cloud services, SaaS platform capabilities, and industry best practices. **Our ideal candidate will have the following:** + Bachelor's degree in computer science, engineering, or a related field + Minimum of seven years of experience in data engineering with at least two years in a lead or senior technical role + Expert proficiency in Snowflake data engineering patterns + Strong experience with AWS services (S3, Lambda, Glue, Step Functions) and Google Cloud Platform + Experience integrating data from SaaS platforms and marketing technology stacks (CDPs, DMPs, analytics platforms, CRMs) + Proven ability to work with third party APIs, webhooks, and data exports + Experience with infrastructure such as code (Terraform, Cloud Formation) and CI/CD pipelines for data infrastructure + Proven ability to design and implement API integrations and event-driven architecture + Experience with data modeling, data warehousing, and ETL processes at scale + Advanced proficiency in Python and SQL for data pipeline development + Experience with data orchestration tools (airflow, dbt, Snowflake tasks) + Strong understanding of data security, access controls, and compliance requirements + Ability to navigate vendor relationships and evaluate technical capabilities of third-party platforms + Excellent problem-solving skills and attention to detail + Strong communication and collaboraion skills **Additional Information** Advance Local Media offers competitive pay and a comprehensive benefits package with affordable options for your healthcare including medical, dental and vision plans, mental health support options, flexible spending accounts, fertility assistance, a competitive 401(k) plan to help plan for your future, generous paid time off, paid parental and caregiver leave and an employee assistance program to support your work/life balance, optional legal assistance, life insurance options, as well as flexible holidays to honor cultural diversity. Advance Local Media is one of the largest media groups in the United States, which operates the leading news and information companies in more than 20 cities, reaching 52+ million people monthly with our quality, real-time journalism and community engagement. Our company is built upon the values of Integrity, Customer-first, Inclusiveness, Collaboration and Forward-looking. For more information about Advance Local, please visit ******************** . Advance Local Media includes MLive Media Group, Advance Ohio, Alabama Media Group, NJ Advance Media, Advance Media NY, MassLive Media, Oregonian Media Group, Staten Island Media Group, PA Media Group, ZeroSum, Headline Group, Adpearance, Advance Aviation, Advance Healthcare, Advance Education, Advance National Solutions, Advance Originals, Advance Recruitment, Advance Travel & Tourism, BookingsCloud, Cloud Theory, Fox Dealer, Hoot Interactive, Search Optics, Subtext. _Advance Local Media is proud to be an equal opportunity employer, encouraging applications from people of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, genetic information, national origin, age, disability, sexual orientation, marital status, veteran status, or any other category protected under federal, state or local law._ _If you need a reasonable accommodation because of a disability for any part of the employment process, please contact Human Resources and let us know the nature of your request and your contact information._ Advance Local Media does not provide sponsorship for work visas or employment authorization in the United States. Only candidates who are legally authorized to work in the U.S. will be considered for this position.

Title: Data Engineer YOUR ROLE PADNOS is seeking a Data Engineer on our Data and Software team who thrives at the intersection of data, automation, and applied AI. This role builds intelligent data pipelines and robotic process automations (RPAs) that connect systems, streamline operations, and unlock efficiency across the enterprise. You'll design and develop pipelines using Python, SQL Server, and modern APIs-integrating services such as OpenAI, Anthropic, and Azure ML-to drive automation and accelerate business processes. Your work will extend beyond traditional data engineering, applying AI models and API logic to eliminate manual effort and make data more actionable across teams. You will report directly to IT Manager, at PADNOS Corporate in Grandville, MI. This is an in-person role based in Grandville, Michigan. Must reside within daily commuting distance of Grandville, Michigan. We do not relocate, sponsor visas, or consider remote applicants. ACCOUNTABILITIES Design and develop automated data pipelines that integrate AI and machine learning services to process, enrich, and deliver high-value data for analytics and automation use cases. Build, maintain, and optimize SQL Server ELT workflows and Python-based automation scripts. Connect to external APIs (OpenAI, Anthropic, Azure ML, and other SaaS systems) to retrieve, transform, and post data as part of end-to-end workflows. Partner with business stakeholders to identify manual workflows and translate them into AI-enabled automations. Work with software developers to integrate automation logic directly into enterprise applications. Implement and monitor data quality, reliability, and observability metrics across pipelines. Apply performance tuning and best practices for database and process efficiency. Develop and maintain reusable Python modules and configuration standards for automation scripts. Support data governance and version control processes to ensure consistency and transparency across environments. Collaborate closely with analytics, software, and operations teams to prioritize and deliver automation solutions that create measurable business impact. MEASUREMENTS Reduction in manual hours across teams through implemented automations. Reliable and reusable data pipelines supporting AI and analytics workloads. Delivery of production-ready automation projects in collaboration with business units. Adherence to data quality and reliability standards. Continuous improvement in data pipeline performance and maintainability. QUALIFICATIONS/EXPERIENCE Bachelor's degree or equivalent experience in data engineering, computer science, or software development. Must have personally owned an automated pipeline end-to-end (design → build → deploy → maintain). Minimum 3 years hands-on experience building production data pipelines using Python and SQL Server. Contract, academic, bootcamp, or coursework experience does not qualify. Intermediate to advanced Python development skills, particularly for data and API automation. Experience working with RESTful APIs and JSON data structures. Familiarity with AI/ML API services (OpenAI, Anthropic, Azure ML, etc.) and their integration into data workflows. Experience with modern data stack components such as Fivetran, dbt, or similar tools preferred. Knowledge of SQL Server performance tuning and query optimization. Familiarity with Git and CI/CD workflows for data pipeline deployment. Bonus: Experience deploying or maintaining RPA or AI automation solutions. PADNOS is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by Federal, State or local law.

Full Time Grand Rapids, MI, US Empower Ministry Through Insight - One Dataset at a Time Are you a data storyteller who finds purpose in clarity, consistency, and impact? At Our Daily Bread Ministries, we're more than a global publishing ministry-we're a Christ-centered team on mission to make the life-changing wisdom of the Bible understandable and accessible to all. As a Senior Data Analyst, you'll transform complex information into meaningful insights that guide strategy and strengthen ministry decisions around the world. From crafting compelling visualizations to collaborating with leaders across regions, your work will help ensure that every data point contributes to advancing our mission. If you're passionate about discovery, precision, and helping others see the story behind the numbers, this is the opportunity you've been waiting for. What You'll Do Illuminate Insights That Drive Ministry:Collaborate with Country Directors, Regional Directors, and internal teams to understand data needs,provideactionable insights, and align reporting with global ministry goals. Champion Data Excellence:Promote transparency, consistency, and accuracy in data collection and reporting across all regions, ensuring communication meets industry standards. Visualize and Communicate:Develop engaging dashboards and KPI reports that turn data into clear, actionable stories for leadership and ministry teams. Strengthen Global Data Literacy:Serve as a trusted resource,trainingand mentoring Reporting Analysts to build a shared language and understanding of data across the organization. Collaborate and Innovate:Work across ministry systems tooptimizedata collection, integration, and accessibility for efficient enterprise-wide reporting. What You Bring Bachelor's degree in DataAnalytics, Information Systems, Statistics, or related field (Master'spreferred) 5+ years of experience in data analysis, visualization, and reporting Strongproficiencyin data visualization tools (Power BI, Tableau, etc.) and database query languages (SQL, DAX, etc.) Proven ability to translate complex data into clear insights and actionable recommendations Experience mentoring or leading data professionals Excellent attention to detail and commitment to data integrity Collaborative spirit andstrong communicationskills A life marked by biblical values, spiritual maturity, and a commitment to growing in Christ Why Join Our Daily Bread Ministries? Mission-Focused Work:Every report you produce and insight you uncover helps someoneencounter God's Word in a tangible way. Christ-Centered Culture:Join a team that serves, prays, and grows together-with weekly Chapel, spiritual encouragement, and a shared passion for God's Word. Opportunity to Grow:Advance your technical and leadership skills in a supportive environment that values excellence and purpose. Comprehensive Benefits:Enjoy competitive health coverage, 401k & employer match, tuition scholarshipopportunitiesfor you and your family, summer schedule adjustment, Chaplain services, and more. Your Insight. His Message. If you're ready to use your analytical gifts to make a global impact for God's Kingdom, we'd love to hear from you.

At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us! POSITION SUMMARY The Sr. Commercial Data Analyst will develop and manage reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing, marketing, and finance. This role will place emphasis on project management across the data analytics team, as well as delivering individual analytics projects of their own. Key responsibilities will include reconciling distributor tracings, contracts, and GPO affiliations to ensure data accuracy, alignment, and compliance across systems. Beyond reporting, the role will drive process improvement initiatives through optimization and automation to enhance efficiency and data reliability across commercial workflows. POSITION QUALIFICATIONS Knowledge, Skills, & Abilities: Power BI report development and deployment. SQL data modeling in a relational database. Good analytical and problem-solving skills. Project management experience at both an individual and team level. Reconciling distributor sales and rebates for different mixes of GPOs and contracts. Proficiency in MS Office Applications, including Excel. Establishes good working relationships with business users and other analysts to support the overall AirLife reporting culture. Understanding general business processes and how reporting/automation can contribute to accurate decision making and increased efficiency. Strong written and verbal communication skills Ability to work independently and as part of a team. Ability to work in a fast-paced and changeable environment, balancing multiple priorities, and ensuring high-quality outcomes. Level of Experience: Experience with Power BI, Power Query or other business intelligence tools. Experience with SQL, Python, R or other programming tools. Experience with project management lifecycles. Experience with general business processes, requirements gathering and report building. Level of Education: Bachelor's degree or equivalent combination of education and experience. Bachelor's degree in information science, data management, computer science or related field preferred. Travel: Less than 10%. ESSENTIAL DUTIES AND RESPONSIBILITIES Creates and maintains reporting for key business users, primarily through Power BI and Excel. This includes being part of the entire report development process from requirements gathering, data modeling, development, deployment and ongoing maintenance. Project manage key data analytics initiatives by leading requirements gathering, coordinating stakeholders, managing timelines, and delivering solutions. Find opportunities to help business users and increase efficiency throughout the business. Understand and communicate with business users about new and existing reports, general AirLife data and AirLife business processes. Works as an SME of our data and tools to help inform business users on options and best practices to support their functions. OTHER RESPONSIBILITIES Uphold and embody AirLife's values in all aspects of work. Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety. Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity. Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits. Contribute to building and maintaining a positive team environment. Assure all policies and guidelines are implemented and followed. QUALITY POLICY At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements. DEIA STATEMENT At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace. Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.

Job Description At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us! POSITION SUMMARY The Sr. Commercial Data Analyst will develop and manage reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing, marketing, and finance. This role will place emphasis on project management across the data analytics team, as well as delivering individual analytics projects of their own. Key responsibilities will include reconciling distributor tracings, contracts, and GPO affiliations to ensure data accuracy, alignment, and compliance across systems. Beyond reporting, the role will drive process improvement initiatives through optimization and automation to enhance efficiency and data reliability across commercial workflows. POSITION QUALIFICATIONS Knowledge, Skills, & Abilities: Power BI report development and deployment. SQL data modeling in a relational database. Good analytical and problem-solving skills. Project management experience at both an individual and team level. Reconciling distributor sales and rebates for different mixes of GPOs and contracts. Proficiency in MS Office Applications, including Excel. Establishes good working relationships with business users and other analysts to support the overall AirLife reporting culture. Understanding general business processes and how reporting/automation can contribute to accurate decision making and increased efficiency. Strong written and verbal communication skills Ability to work independently and as part of a team. Ability to work in a fast-paced and changeable environment, balancing multiple priorities, and ensuring high-quality outcomes. Level of Experience: Experience with Power BI, Power Query or other business intelligence tools. Experience with SQL, Python, R or other programming tools. Experience with project management lifecycles. Experience with general business processes, requirements gathering and report building. Level of Education: Bachelor's degree or equivalent combination of education and experience. Bachelor's degree in information science, data management, computer science or related field preferred. Travel: Less than 10%. ESSENTIAL DUTIES AND RESPONSIBILITIES Creates and maintains reporting for key business users, primarily through Power BI and Excel. This includes being part of the entire report development process from requirements gathering, data modeling, development, deployment and ongoing maintenance. Project manage key data analytics initiatives by leading requirements gathering, coordinating stakeholders, managing timelines, and delivering solutions. Find opportunities to help business users and increase efficiency throughout the business. Understand and communicate with business users about new and existing reports, general AirLife data and AirLife business processes. Works as an SME of our data and tools to help inform business users on options and best practices to support their functions. OTHER RESPONSIBILITIES Uphold and embody AirLife's values in all aspects of work. Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety. Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity. Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits. Contribute to building and maintaining a positive team environment. Assure all policies and guidelines are implemented and followed. QUALITY POLICY At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements. DEIA STATEMENT At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace. Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Position Summary** We're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for financial and analytic workloads. Key Responsibilities: + Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. + Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. + Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. + Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. + Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. + Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. + Design and architect data infrastructure analytical workloads. **Required Qualifications** + 5+ years of applicable work experience + Proficiency in Python, specifically with ETL pipelines. + Strong proficiency in SQL and experience in developing complex queries. + Familiarity with py Spark, DBT, or other similar frameworks. + Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). + Understanding of data warehousing concepts, dimensional modeling, and building data marts. + Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. **Preferred Qualifications** + Knowledge of data governance best practices in a cloud environment. + Experience with data design in BigQuery + Experience working with the Epic data model. + Experience working with healthcare data (Claims and Admissions) **Education and Experience** + College degree or certification in related fields **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 01/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach + Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Structuring, write, communicate and facilitate client presentations; and, + Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing AI/GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

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 January 31, 2026 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.

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies to help them build innovative businesses that keep them one step closer to their customers and one step ahead of the competition. We offer a meaningful work environment for employees, attractive and interesting engagements for consultants, and cutting-edge digital innovation for our customers. We delight in helping our customers execute their digital vision. Big projects or small, Halo Group knows that by combining the highest quality talent with our unwavering support, we will become an invaluable extension of the team. Halo Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all areas of product/project governance, UX/UI, multi-platform applications, quality assurance/testing, cloud computing, and data analytics. Since its inception, Halo Group has been recognized for numerous awards, including: - INC 5000 - Future 50 - 101 Best and Brightest - Michigan 50 Companies to Watch - Goldline Research - “Most Dependable Companies” - Ernst & Young - “Entrepreneur of the Year” Finalist Job Description Mandatory 1. Need to have experience with business Rules, Stored Procedures and Optimizations 2. Strong Experience with SQL Server 2012, 2014 and good knowledge on in-memory functions. 3. Hands-on SQL Server development experience including DW schema design, implementation and optimization 4. Strong experience with SQL Data modeling and designing the data marts for different source of data. 5. Advanced Data Modeling Skills with SQL database including good skills in designing complex queries, stored procedures 6. Ability to move between high level architectural review/design and the "roll up the sleeves" level of actually doing all phases of a solution delivery project 7. Strong working experience with SSIS, SSRS and/or SSAS 8. Experience with any of the following is a plus: Cloud IaaS/PaaS, Azure, Cloud Integration etc. 9. Responsible for performance tuning of database functions, SQL queries, and stored procedures to ensure scalability demands are satisfied. 10. A deep understanding of, and experience using and explaining all aspects of, relational database design, multidimensional database design, OLTP, OLAP, KPIs, Scorecards, and Dashboards 11. Experience leading technical discussions on data warehouse appliance technology (hardware, software, database, storage). 12. Gather and document functional and technical requirements, and translate requirements into reporting solutions, analytic tools and dashboards 13. Develop solutions patterns, data flow diagrams, data models and architectural specifications 14. Integration experience with ETL (Working Experience with SAP BODS is a plus) 15. Understanding of Big Data, Hadoop eco systems is a plus 16. Knowledge and work experience developing solutions using Programming language like Java, C++, Python is a plus 17. Experience in integration with Analytical Tool such as Tableau / Business Objects is a plus 18. Knowledge of the Data and Analytics and Agile Implementation Lifecycle 19. Client-centric mentality: reliable, professional, exceeds expectations 20. Able to handle projects independently and manage client expectations and deliverables in a timely manner 21. Ability to lead a team of 3 - 5 consultants and mentor junior consultants 22. Excellent organizational skills to work in a fast-paced environment and manage and prioritize multiple tasks simultaneously 23. Demonstrated skill at presenting complex development topics to technical and business users Qualifications Strong working experience with SSIS, SSRS and/or SSAS Experience with any of the following is a plus: Cloud IaaS/PaaS, Azure, Cloud Integration etc. Additional Information All your information will be kept confidential according to EEO guidelines.

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 ************************** .

Full Time Grand Rapids, MI, US Empower Ministry Through Insight - One Dataset at a Time Are you a data storyteller who finds purpose in clarity, consistency, and impact? At Our Daily Bread Ministries, we're more than a global publishing ministry-we're a Christ-centered team on mission to make the life-changing wisdom of the Bible understandable and accessible to all. As a Senior Data Analyst, you'll transform complex information into meaningful insights that guide strategy and strengthen ministry decisions around the world. From crafting compelling visualizations to collaborating with leaders across regions, your work will help ensure that every data point contributes to advancing our mission. If you're passionate about discovery, precision, and helping others see the story behind the numbers, this is the opportunity you've been waiting for. What You'll Do Illuminate Insights That Drive Ministry:Collaborate with Country Directors, Regional Directors, and internal teams to understand data needs,provideactionable insights, and align reporting with global ministry goals. Champion Data Excellence:Promote transparency, consistency, and accuracy in data collection and reporting across all regions, ensuring communication meets industry standards. Visualize and Communicate:Develop engaging dashboards and KPI reports that turn data into clear, actionable stories for leadership and ministry teams. Strengthen Global Data Literacy:Serve as a trusted resource,trainingand mentoring Reporting Analysts to build a shared language and understanding of data across the organization. Collaborate and Innovate:Work across ministry systems tooptimizedata collection, integration, and accessibility for efficient enterprise-wide reporting. What You Bring Bachelor's degree in DataAnalytics, Information Systems, Statistics, or related field (Master'spreferred) 5+ years of experience in data analysis, visualization, and reporting Strongproficiencyin data visualization tools (Power BI, Tableau, etc.) and database query languages (SQL, DAX, etc.) Proven ability to translate complex data into clear insights and actionable recommendations Experience mentoring or leading data professionals Excellent attention to detail and commitment to data integrity Collaborative spirit andstrong communicationskills A life marked by biblical values, spiritual maturity, and a commitment to growing in Christ Why Join Our Daily Bread Ministries? Mission-Focused Work:Every report you produce and insight you uncover helps someoneencounter God's Word in a tangible way. Christ-Centered Culture:Join a team that serves, prays, and grows together-with weekly Chapel, spiritual encouragement, and a shared passion for God's Word. Opportunity to Grow:Advance your technical and leadership skills in a supportive environment that values excellence and purpose. Comprehensive Benefits:Enjoy competitive health coverage, 401k & employer match, tuition scholarshipopportunitiesfor you and your family, summer schedule adjustment, Chaplain services, and more. Your Insight. His Message. If you're ready to use your analytical gifts to make a global impact for God's Kingdom, we'd love to hear from you.