Senior data analyst- jobs in Millcreek, PA

SystemsAccountants is partnering with a client in the hospitality and entertainment sector to identify a Data Analyst who will join their finance team and drive analytics initiatives across the organization. This role is ideal for someone who thrives on transforming complex data into clear, actionable insights that influence strategic decisions. Location: Hybrid in New York City Compensation: $90,000 $120,000 About the Role The Data Analyst will work closely with stakeholders across departments including Operations, Marketing, Finance, and Food & Beverage to analyze datasets, build models, and deliver reporting that supports data-driven decision-making. This position offers the opportunity to shape analytical best practices and contribute to a culture where data informs every major business decision. Responsibilities Analyze complex datasets using SQL, Python, and BI tools to generate insights that drive business outcomes Design, build, and maintain dashboards, models, and reports that enable leadership and operational teams to make informed decisions Partner with business stakeholders to define problems, establish metrics, and translate questions into structured analytical frameworks Present findings through visualizations, presentations, and narratives that make complex statistical concepts accessible to non-technical audiences Collaborate with Data Engineering to identify high-impact datasets, optimize data structures, and streamline processes for faster insight delivery Mentor junior analysts and contribute to the continuous improvement of analytical standards and practices Qualifications Bachelor's degree in Business, Finance, Economics, Data Analytics, Data Science, or a related discipline Three to five years of experience in analytics, business intelligence, or a related field Advanced proficiency in SQL with demonstrated experience querying large, complex datasets Strong Python skills for data manipulation, analysis, and automation Experience building models and performing analytics outside of Excel Ability to communicate statistical concepts clearly to stakeholders at all levels Experience in gaming, leisure, entertainment, or financial services is highly preferred

📌 Hiring: Data Analyst II - Product Operations We're seeking a Data Analyst II to join the Product Operations team, focusing on product reliability, performance insights, and scalable data solutions. What You'll Do Build and maintain ETL pipelines, dashboards, and reporting infrastructure Analyze product data to identify trends, issues, and opportunities Create scalable data models and visualizations Collaborate with cross-functional teams across Operations, Engineering, and Data Present insights to non-technical stakeholders Improve processes and ensure high data quality Must-Have Skills Strong experience with ETL pipeline development Advanced SQL skills Proficiency with Tableau / Power BI / Alteryx Statistical analysis (hypothesis testing, regression, experimentation) Strong communication and presentation skills Nice-to-Haves Experience using AI tools for analysis or model performance measurement Experience working across time zones and diverse teams 📩 Interested candidates can share their resumes for immediate review.

Title: Data Analyst - Actuarial Support Reports To: VP, Actuary Department: Actuary Classification: Full-Time/Exempt Who We Are: Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart. Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace. Position Overview: The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program. Essential Job Functions: Collaborate with cross functional teams to improve data and automate reports where appropriate. Use analytics to spot trends, dependencies, and patterns. Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness. Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation. Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization. Qualifications: Degree in Business, Computer Science or another related field. A minimum 2 years of P/C insurance experience is preferred. Strong analytical and problem-solving skills as well as solid oral and written communication skills Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages. ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

*CANDIDATE MUST BE US CITIZEN OR GREEN CARD HOLDER* Job Title: Senior Data Analyst Experience: 5+ years About the Role: We are seeking a Senior Data Analyst to provide advanced insights, drive strategic decision-making, and lead analytics initiatives across the organization. This role involves analyzing complex datasets, building scalable dashboards, and influencing business strategy with actionable insights. Key Responsibilities: Lead analysis of large, complex datasets to uncover trends, patterns, and opportunities Design, build, and maintain dashboards and reports using Tableau, Power BI, or Looker Partner with cross-functional teams (Product, Marketing, Operations, Finance) to define KPIs and measure performance Translate data findings into actionable recommendations and communicate results to senior stakeholders Mentor junior analysts and promote best practices in data analysis, visualization, and reporting Drive process improvements through automation and advanced analytical methods Skills & Qualifications: 5+ years in data analysis, business intelligence, or analytics Advanced proficiency in SQL and Excel; experience with Python, R, or similar tools preferred Expertise in BI tools (Tableau, Power BI, Looker) and data visualization best practices Strong problem-solving skills and ability to translate data into business insights Excellent communication skills for presenting complex findings to technical and non-technical audiences Experience with data warehousing, ETL, and cloud analytics platforms a plus What We Offer: Competitive salary ($115k-$135k NYC range; higher depending on experience) Opportunities to lead high-impact analytics projects across the organization Professional development and career growth in a data-driven environment

Job Title: Data Analyst IV Duration: 6 Months We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards. Additionally, our client is someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation. Responsibilities: Design and develop data dashboards and solutions that help the team and leadership make data driven analytical decisions tailored to improve the business. Utilize AI tools to help automate routine analysis and scale solutions. Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact. Conduct in-depth investigations leveraging large and complex data sets. Partner with Operations Project Managers, Data Science, Product teams to solve problems at scale. Inform and execute new strategies and tactics using analysis and impact metrics. Build narrative around data quality and provide insights that will help in better annotation project performance opportunities. Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation. Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions. Minimum Qualifications: Degree in a related field and 5+ years of work experience in an analyst role. Database querying language (SQL) and programming language (Python) for data processing, data analysis and analytics Experience building and maintaining dashboards for making business decisions Well-versed in AI prompt engineering and utilizing AI to analyze data Advanced Excel / Google Sheet experience Strong communication skills and ability to build relationships and influence stakeholders across functional groups and levels Ability to make judgments under tight deadlines and competing priorities Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others Preferred Qualifications: Experience working across time zones and with diverse audiences, including within operations teams and across with key stakeholders and senior leadership Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models Served as a thought leader for data-informed initiatives and contributed to the team's direction overall.

We are working with a fast-growing SaaS company that has about 500 employees. They're looking for a Senior Data Analyst to turn complex data into actionable insights for business and product teams. Responsibilities Build and maintain dashboards and reports using Power BI, SSRS, or Excel. Analyze large datasets using SQL and scripting languages (Python, R). Translate business questions into actionable insights and clear visualizations. Partner with cross-functional teams to define metrics and reporting needs. Ensure data quality and improve reporting workflows. Lead data projects and mentor junior team members. Requirements 4+ years of data analyst experience in a tech company. Strong SQL skills and experience with data warehousing concepts. Proficient with BI tools and scripting for data analysis. Skilled at turning business questions into actionable insights. Detail-oriented, proactive, and able to work independently in a fast-paced environment.

Data Solutions - AI - ChatGPT Hybrid 4 days per week - New York We are partnering with a leading Private Equity firm seeking to modernize its operations through data, automation, and AI-driven solutions. This is a unique opportunity for a versatile problem-solver who can sit across applications and data, integrate systems, and pioneer the firm's use of AI technologies particularly ChatGPT and related tools to create tangible business impact. The role is hands-on, highly exploratory, and focused on “figuring things out” whether that means building a solution directly or identifying where specialist consultants should be brought in. You'll play a critical role in helping the firm embrace new technologies, streamline operations, and unlock the value of their data. You will sit between the IT and Data Science team working on both Projects and BAU. Key Responsibilities Work across business applications and data platforms to enable integration, automation, and efficiency. Lead projects to centralize and leverage data (e.g., bringing Sage and Allvue data into Snowflake). Explore, design, and implement AI-driven use cases, including the use of ChatGPT, to modernize workflows and enhance decision-making. Identify opportunities for automation and digital transformation across the firm's operations. Serve as a bridge between business needs and technology solutions, providing practical guidance on what should be solved internally vs. with external consultants. Continuously research and experiment with emerging tools to keep the firm ahead of the curve. Key Skills & Experience Strong understanding of application and data integration. Experience with data platforms (Snowflake preferred) and familiarity with financial systems (e.g., Sage, Allvue). Hands-on experience with automation tools and scripting (e.g., Python, APIs, workflow automation). Knowledge of and practical experience using AI/LLMs (e.g., ChatGPT) to solve business problems. Ability to work in an exploratory, solutions-focused manner, with a high level of autonomy. Strong problem-solving mindset-able to evaluate when to build, buy, or bring in external expertise. Personal Attributes Curious and entrepreneurial; thrives in ambiguity and enjoys “figuring things out.” Practical and solutions-oriented with a strong sense of ownership. Strong communicator who can bridge technical and non-technical stakeholders. Excited by the opportunity to help transform and modernize a business. What's on Offer The chance to shape the digital and AI journey of a forward-looking Private Equity firm. A broad, impactful role with exposure across applications, data, and AI. Opportunity to work in a high-trust environment where innovation and experimentation are encouraged. Competitive compensation package.

About This Role: At hMetrix, we are transforming healthcare through data-driven solutions. We're looking for a Senior Healthcare Data Analyst to collaborate with and mentor talented hybrid teams of up to five healthcare policy experts, analysts, software developers, and data architects. In this role, you will be the crucial bridge between business needs and technical solutions. You will leverage cutting-edge technologies to design and implement innovative systems that support an efficient, secure, and stable healthcare data ecosystem for our clients. Your success will be measured by the value we deliver to providers, payers, HIEs, state governments and their communities. What You'll Do: Strategy & Collaboration Collaborate with and mentor your team of analysts, developers, and data architects. Develop and maintain a roadmap for our project data infrastructure, ensuring it aligns with business goals and industry best practices. Collaborate with business stakeholders to gather requirements and translate them into technical specifications. Technical Execution & Data Pipelines Review proposed data processing pipelines (including data warehouses and ETL processes) to ensure performance, scalability, and reliability. Maintain and optimize robust data pipelines using modern ETL tools for efficient data ingestion and processing. Prioritize and manage project data flows to ensure timely delivery and effective resource allocation. System Performance & Governance Oversee monitoring and alerting systems to proactively identify and resolve potential issues. Proactively monitor system performance, identifying and resolving bottlenecks in our analytic applications. Contribute to enforcing data governance policies to ensure data quality, consistency, and compliance. What You'll Bring: Required: Education: Bachelor's degree or higher in Computer Science, Biostatistics, Engineering, or a related technical field. Core Experience: A minimum of four years of relevant experience working directly within the healthcare domain (e.g., payer, provider, healthcare technology). Technical Mastery: At least four years of hands-on experience with SQL, Python, and PySpark applied to data management and analysis. Data Expertise: Strong, practical knowledge of data management and warehousing concepts and best practices. Nice-to-Haves: Proficiency with modern web and cloud (AWS or GCP) technologies. Strong understanding of U.S. healthcare policy and value-based reimbursement models. Familiarity with administrative healthcare claims data (e.g., structure, content, and usage) and HL7 or FHIR healthcare data interoperability standards. Why You'll Love Working at hMetrix: We invest in our team's success and well-being. Here's what we offer: Financial Wellness: A competitive base salary, annual bonus opportunities, and a fully vested 401(k) with a generous employer match. Comprehensive Health: 100% employer-paid medical, dental, and vision premiums for you and your dependents. Work-Life & Flexibility: A hybrid (in-office/remote) schedule with the flexibility of intra-day breaks of up to two hours. Professional Growth: Real opportunities for advancement, supported by continuous mentorship and a strong peer-support network. About hMetrix: For over two decades, hMetrix has been at the forefront of healthcare analytics. We partner with providers, payers, HIEs, and state entities to solve real-world healthcare problems. Our work spans robust data collection, scalable integration, healthcare policy support, reimbursement, data science, and intuitive visualization. We define problems collaboratively with our clients, tailoring our technology and data resources to meet their specific needs. We are a diverse, family-friendly team focused on inclusion, growth, and making a tangible impact. Our Recent Impact: Identified over $100 million in actionable annual savings through advanced algorithms. Serve as a key technology partner to state governments, managing large, complex B2B healthcare portals and specialized HIE solutions. Reduced data processing time by over 90% through advanced technology and automation. Supported policy initiatives to improve care for over 2 million beneficiaries. Join us at hMetrix and contribute to fascinating and rewarding projects that make a tangible impact in the healthcare industry. We value diversity and strive to create a family-friendly culture that fosters inclusion and growth for better business performance. Location 150 Monument Road, Suite 203 Bala Cynwyd, PA 19004 Tel: ************** | Fax: **************

Senior Analyst, HR Data Analytics The Christ Hospital Health Network The Christ Hospital Health Network, a leading Cincinnati-based healthcare system known for its commitment to excellence in patient care, seeks an accomplished Senior Analyst, HR Data Analytics to advance the organization's capability to transform workforce data into predictive, evidence-based insights. The Senior Analyst plays a pivotal role in transforming HR data into actionable information that drives strategic decision-making. This individual contributor, hands-on role combines advanced analytics, HR technology, and data science techniques with a deep understanding of HR metrics and organizational behavior. The successful candidate will optimize data systems, ensure data integrity and accuracy, and provide leaders with meaningful analysis that influences talent, engagement, and performance outcomes. Key Responsibilities Develop predictive analytics models and algorithms to identify workforce patterns and forecast outcomes such as turnover risk, performance trends, and engagement dynamics. Apply regression analysis and correlation modeling to uncover relationships between demographic, behavioral, and sentiment data. Design and implement self-correcting data quality control mechanisms to continuously verify, validate, and enhance data accuracy and integrity throughout the workflow. Leverage Agentic AI data analysis to automate data synthesis, aggregation, cleansing, validation, and verification processes, ensuring consistently high data quality and actionable insights to guide and inform leadership decision making. Build and maintain dashboards and data visualizations that translate complex analyses into executive level data reports. Partner with HR, IT, and business stakeholders to ensure data consistency, integrity, and proper governance across all systems and data sources. Create models that link workforce behaviors and outcomes (e.g., retention, productivity, engagement) to measurable business results. Stay current on emerging analytics technologies including machine learning, generative AI, and predictive modeling, and recommend opportunities to apply them within HR analytics. Qualifications Bachelor's degree in data analytics, statistics, computer science, or a related quantitative discipline (advanced degree preferred). 7+ years of experience in data analytics or data science, ideally with exposure to HR or workforce analytics. Demonstrated proficiency in regression modeling, correlation analysis, and algorithm development, with the ability to translate findings through compelling data visualization and storytelling. Strong understanding of data governance, accuracy controls, and validation frameworks. Experience in AI-driven data quality automation, autonomous data orchestration tools, and emerging Agentic AI applications. Familiarity with Oracle Fusion data intelligence and related enterprise analytics ecosystems. Ability to communicate complex quantitative insights clearly to non-technical audiences and senior stakeholders. Core Competencies Analytical Rigor: Uses advanced statistical techniques to uncover patterns and predict outcomes. Data Integrity Focus: Designs systems that self-monitor, validate, and maintain clean, accurate and high reliability data. Technical Agility: Leverages emerging AI and automation technologies to improve analytics precision and scalability. Data Storytelling: Converts quantitative findings into compelling narratives that drive decision-making. Collaboration: Partners effectively with HR, IT, and business functions to align data strategy with organizational goals. Innovation: Explores and implements new data science methods to enhance workforce understanding and predictive capability.

Hybrid in Columbia, NJ The data management role involves the architecture and stewardship of the bank data. This role requires understanding of data management topics, design methodologies and tools. The individual in this role must understand structured and unstructured data and can architect the distribution, management, retention and utilization of bank data and content. This role requires moderate to high levels of database administration skills. Key Responsibilities Architecture and stewardship of bank data and content. Understanding of data and content for the purpose of guiding where the data is stored, how it is stored, how it is accessed and how hygiene is maintained. Data hygiene: Architect and document ongoing data hygiene practices to ensure data integrity and routine maintenance. Infrastructure architecture: Understanding of systems and design to be able to support network and server infrastructure. Data Management: Inventory of content related to each application. End-user guidance regarding data hygiene. Project Management: Using PM methodologies practices by the FI, plan, lead and participate in projects for the good of the FI. Vendor Management: Establish vendor needs, requirements and parameters. Engage in selection, onboarding and management of vendors. Practice lifecycle management of vendors. Ensure secure computing practices in multiple vectors including core subject expertise and the wider FI security posture. Actively design and improve security in core subject areas and as part of the whole institution. Priority bridge resolutions and interrupt-driven tasks. Education & Experience Bachelor's degree in computer science, Information Technology or similar experience. Minimum of 4 years of data management experience, preferably in financial services. Experience with Security software, disaster recovery, firewalls, network monitoring, etc. Must have Windows Server administration experience.

NAPCO Media (*************** a subsidiary of PRINTING United Alliance (*************************** is a fast-paced B2B media organization serving the printing, retail, and nonprofit industries. We specialize in the creation and cross-channel distribution of exceptional content on print and digital platforms such as newsletters, magazines, podcasts, social media, and events. Our mission is to build community between the audiences and clients we serve. Role Summary We are seeking a technical, production-focused Data Analyst to cover a 3-month leave. This role requires someone who can immediately take on survey programming, data cleaning, cross-tabulation, and chart creation with minimal ramp-up. This is not a general market research position - candidates must have hands-on experience with the specific tools and workflows listed below. Core Responsibilities Program surveys in SurveyMonkey, including advanced logic, piping, randomization, and QA. Manage collectors, fielding, troubleshooting, and survey flow validation. Clean and structure raw survey data in Excel (remove bad responses, combine datasets, build clean tables). Create segmented databooks (cross-tabs, banner tables) based on internal specifications. Build PowerPoint chart decks using provided templates and brand formatting. Perform QA on surveys, datasets, and charts to ensure accuracy and consistency. Work closely with the research team to deliver accurate, on-time backend outputs. Required Skills Strong, proven experience with SurveyMonkey programming (not just taking surveys - full setup and logic). Advanced Excel skills for cleaning, organizing, and segmenting data. Experience producing cross-tabs and analyzing survey-based datasets. Strong PowerPoint skills, especially charts and visual formatting. High attention to detail, independence, and reliability. Preferred Experience Prior work in research operations, data processing, or survey analytics. Experience with B2B or market research studies. Familiarity with external survey panels (helpful but not required). Experience with Q software (helpful but not required). Assignment Details Schedule: 30-40 hours/week Duration: 3 months Location: Remote Start: ASAP Focus: Pure production work (no client communication or project management) Email resume to ************. We strive to develop and retain a diverse, equitable, and inclusive workplace where all employees feel they are respected, treated fairly and given equal opportunity to excel in their careers. NAPCO Media is committed to providing equal opportunity for employees and applicants in all aspects of the employment relationship, without regard to race, religion, color, age, gender (including pregnancy, childbirth, or related medical conditions), marital status, parental status, sexual orientation, gender identity, gender expression, ancestry, national origin, citizenship, political affiliation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment decisions are decided on the basis of qualifications, merit, and business needs.

THIS IS A W2 (NOT C2C OR REFERRAL BASED) CONTRACT OPPORTUNITY REMOTE MOSTLY WITH 1 DAY/MO ONSITE IN CINCINNATI-LOCAL CANDIDATES TAKE PREFERENCE RATE: $75-85/HR WITH BENEFITS We are seeking a highly skilled Data Architect to function in a consulting capacity to analyze, redesign, and optimize a Medical Payments client's environment. The ideal candidate will have deep expertise in SQL, Azure cloud services, and modern data architecture principles. Responsibilities Design and maintain scalable, secure, and high-performing data architectures. Lead migration and modernization projects in heavy use production systems. Develop and optimize data models, schemas, and integration strategies. Implement data governance, security, and compliance standards. Collaborate with business stakeholders to translate requirements into technical solutions. Ensure data quality, consistency, and accessibility across systems. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. Proven experience as a Data Architect or similar role. Strong proficiency in SQL (query optimization, stored procedures, indexing). Hands-on experience with Azure cloud services for data management and analytics. Knowledge of data modeling, ETL processes, and data warehousing concepts. Familiarity with security best practices and compliance frameworks. Preferred Skills Understanding of Electronic Health Records systems. Understanding of Big Data technologies and modern data platforms outside the scope of this project.

Job Title: Senior Global Data Warehouse Architect Duration: Full-Time/Permanent We are seeking a Senior Global Data Warehouse Architect to design and deliver modern, scalable, and high-performing data platforms that enable advanced financial and operational analytics. The role focuses on defining enterprise data architecture strategy, optimizing data flows, and ensuring data structures are reliable, efficient, and built for analytical depth and scalability. The architect will develop data platforms that deliver reconciled financial and operational metrics, reduce time-to-insight, and establish standards for data governance, lineage, and model reusability to elevate data quality across the enterprise. **LAW FIRM EXPERIENCE REQUIRED. Responsibilities Design and implement enterprise-grade data architectures on Databricks, Snowflake, or similar platforms for real-time and batch analytical workloads. Build efficient ELT/ETL workflows using Spark, Python, and SQL to ingest, transform, and curate large volumes of structured and unstructured financial and operational data. Create and maintain dimensional, normalized, and semantic data models to support financial reporting, performance analytics, and forecasting. Lead integration design for financial and HRIS systems, ensuring accurate reconciliation and alignment with enterprise data warehouse schemas. Enforce data governance policies, lineage tracking, and metadata standards to ensure data accuracy, consistency, and regulatory compliance. Tune query performance, optimize compute and storage costs, and implement data caching and partitioning strategies to improve processing speed and efficiency. Collaborate with data engineers, BI developers, finance analysts, and technology teams to translate business requirements into scalable data solutions. Evaluate new tools, frameworks, and architectures to enhance data platform performance and scalability. Qualifications 8+ years of experience in data architecture, data engineering, or BI engineering roles. Hands-on experience architecting solutions on Databricks and/or Snowflake. Strong proficiency in SQL, Python, and Spark. Deep understanding of data modeling principles (3NF, star/snowflake schemas, data vault). Proven experience designing data lakes and lakehouse architectures. Familiarity with financial data structures, accounting schemas, and practice management systems such as Elite 3E or Aderant. Experience supporting financial planning, billing, profitability, and time & expense analytics. Experience with cloud platforms (AWS, Azure, or GCP), data platform tools (Databricks, Snowflake, S3, Delta Lake), and BI/visualization tools (Power BI, Tableau, or equivalent). Strong analytical, problem-solving, and communication skills. Ability to influence and align technical direction across teams. Relevant certifications preferred: Databricks Certified Data Engineer/Architect, Snowflake SnowPro Advanced: Architect, TOGAF or other enterprise data architecture credentials.

About the job: Perform quality assurance testing for Windchill PLM ensuring system functionality, performance, and compliance with business requirements in an Agile development environment. What you will do at Sogeti: Design, develop, and execute test plans and test cases for Windchill PLM modules and integrations. Perform functional, regression, integration, and user acceptance testing (UAT). Collaborate with cross-functional Agile teams including developers, business analysts, and product owners. Identify, document, and track defects using tools like JIRA or similar. Validate PLM workflows, data models, and configurations against business requirements. What you will bring: 3+ years of experience in software testing, with a focus on Windchill PLM. Strong understanding of PLM concepts, product structures, BOMs, workflows, and change management. Proficiency in Agile/Scrum methodologies and tools (e.g., JIRA, Confluence). Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti - Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 65k-120K. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Job Title: Senior Marketing Data Analyst Company: Pond Lehocky About Us: Pond Lehocky is a prominent law firm dedicated to advocating for clients in workers' compensation and personal injury cases. We pride ourselves on our fast-paced, data-driven marketing culture and are seeking a Senior Marketing Data Analyst to help us leverage data for strategic decision-making and improved client engagement. Position Overview: As a Senior Marketing Data Analyst, you will be an integral part of our marketing team, partnering with cross-functional teams throughout the entire lifecycle of data analysis. You will transform complex datasets into actionable insights, guiding our marketing strategies and enhancing our overall performance. Key Responsibilities: Collaborate with various teams on data science initiatives, from ideation and exploratory analysis to running experiments and building dashboards and reports. Analyze complex datasets to identify trends and develop actionable insights that align with business objectives. Develop, own, and manage recurring analytical and reporting processes. Prepare and deliver visualizations and presentations that communicate analytic insights in a clear and impactful manner to both technical and non-technical stakeholders. Proactively convey complex analytical findings, ensuring clarity and understanding across teams. Qualifications: Personal Attributes: Data-driven, intellectually curious, and technically rigorous with a strong ability to communicate insights clearly. Eager to learn and embrace new technologies and solutions. Solid understanding of marketing concepts, including advertising, distribution, and campaign strategies. A collaborative team player with a positive outlook, eager to uplift and energize those around you. Key Competencies: Marketing Analytics: Familiarity with various marketing channels and their impact on business performance. Knowledge of industry trends and best practices in marketing analytics. Experience with experiment design, including A/B testing and multi-touch attribution modeling. Expertise in analyzing marketing performance metrics and calculating ROI. Statistical Modeling and Analysis: Proficient in predictive modeling, cluster analyses, marketing mix modeling, and multi-touch attribution modeling Experience with statistical software such as SQL, R, Python, and Power BI. Nice to Haves: Experience in data visualization and familiarity with Salesforce. Knowledge of marketing research methodologies and tools. Experience with: Social Media Marketing, Out-Of-Home (OOH) Marketing, Search Engine Optimization (SEO), Conversion Rate Optimization (CRO), Over-The-Top (OTT) Advertising and Broadcast TV Marketing Experience in developing and implementing machine learning algorithms for predictive insights. Ability to translate business requirements into AI/ML models, delivering actionable insights and solutions that support strategic decision-making. Strong grasp of supervised and unsupervised learning methods, feature engineering, and model performance optimization.

We're looking for a detail-oriented professional to join our Legal Technology team. In this role, you'll help design, test, and implement tools that make litigation workflows more efficient, from document review and case management platforms to AI-driven analytics and data automation. What You'll Do Support case teams with technology solutions for document review, data processing, and case management. Build and maintain automated workflows using low-/no-code tools and scripting. Partner with internal teams to customize solutions and ensure seamless integration into legal processes. Troubleshoot and resolve technical issues, manage file transfers, and handle structured/unstructured data. Provide training, documentation, and guidance to users on best practices. Contribute to eDiscovery processes, including data collection, processing, review, and production. Experiment with emerging AI and analytics tools to improve legal technology services. What We're Looking For Experience with litigation support or eDiscovery platforms (e.g., Relativity, Nuix, LAW, etc.). Solid background in data handling, automation, or database administration. Familiarity with scripting (Python, Java) and text/data manipulation techniques. Understanding of analytics tools such as TAR, email threading, or concept analysis. Strong problem-solving skills and the ability to explain technical ideas in plain language. Excellent communication, organizational, and project management abilities. Bachelor's degree in Computer Science, Data Analytics, Information Systems, or related field. At least 5 years' experience working with litigation data or database platforms. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

One of the nation's largest and most respected providers of hospital and healthcare services, Universal Health Services, Inc. (NYSE: UHS) has built an impressive record of achievement and performance. Growing steadily since its inception into an esteemed Fortune 300 corporation, annual revenues were $15.8 billion in 2024. During the year, UHS was again recognized as one of the World's Most Admired Companies by Fortune; and listed in Forbes ranking of America's Largest Public Companies. Headquartered in King of Prussia, PA, UHS has approximately 99,000 employees and continues to grow through its subsidiaries. Operating acute care hospitals, behavioral health facilities, outpatient facilities and ambulatory care access points, an insurance offering, a physician network and various related services located all over the U.S. States, Washington, D.C., Puerto Rico and the United Kingdom. *********** The Corporate Information Services Department is seeking a dynamic and talented Application Analyst II - Training Content Developer. The Application Analyst II - Training Content Developer provides training content development services to all UHS operations to increase the effectiveness of UHS staff and management to ensure the delivery of superior quality healthcare services to all customers. Develops management and employee training initiatives with respect to both content and delivery methods for UHS facilities to achieve learning objectives. Assists with training initiatives and projects and provides ongoing support for assigned divisions and departments. Works in a collaborative environment with other learning professionals, subject matter experts (SMEs), and business leaders to analyze learning needs and develop interventions as required. This includes, but is not limited to, classroom and virtual delivery. Key Responsibilities include: Able to deliver training materials that meet the learning objectives for Workday technical skills and related business processes; plans, designs, and develops methods for the assessment and evaluation of learners. Develops training aids, manuals, help content, and other reusable materials to meet the pre-defined curricula, course outlines, and instructional methods. Can highlight when updates to curricula may be needed. Develops and maintains documentation (including Glossaries, FAQs and intuitive self-service within Workday for end users). Provides analytics around material/training usage and training effectiveness. Regularly assesses and analyzes training needs, identifies gaps and recommends solutions. Ensures that training materials are developed to facilitate a learning experience that is interactive and engaging (using a blend of live demonstrations, hands-on exercises, and eLearning modules). Consults with leadership to develop and deliver learning initiatives to improve employee performance. Position Requirements: Associate's degree required, Bachelor's degree preferred. 3-5 years of experience in training development, particularly in ERP system implementations, or comparable enterprise software training programs. Proven experience in creating and delivering training materials for large-scale systems, preferably Workday or similar ERP Cloud platforms via eLearning, classroom training, and virtual sessions. Experience with WalkMe, Maverick, and/or Workday Case Management (WD articles and the Workday Chatbot) is preferred. Working knowledge of adult learning methods and practices. Ability and experience to engage UHS sites/departments to identify and address the needs of learners working in our facilities. Experience with Learning Management Systems (LMS) and learning content development tools. Excellent interpersonal and communication skills. Has exposure to instructional design and curriculum development for designing, developing, and implementing training experiences (incorporating a blend of eLearning, classroom training, and virtual sessions) to engage learners. Ability to multi-task and prioritize workload in a fast-paced environment. Training: Related ERP (preferably Workday) or LMS/LCMS (preferably Healthstream) training / certifications. Travel Requirements: Up to 50% travel during 3 months leading up to go-live events, standard travel up to 25%. This opportunity provides the following: Challenging and rewarding work environment Growth and development opportunities within UHS and its subsidiaries Competitive Compensation Excellent Medical, Dental, Vision and Prescription Drug Plan 401k plan with company match Generous Paid Time Off

Why Upstate Medical University: SUNY Upstate Medical University, located in Syracuse, NY, is the only academic medical center in Central New York. It is also the region's largest employer with 9,460 employees. The Upstate University Health System serves 1.8 million people, often the most seriously ill and injured, and includes Upstate University Hospital; Upstate University Hospital at Community Campus; Upstate Golisano Children's Hospital, and numerous satellite sites. Upstate Medical University's educational mission is anchored by its four colleges-Medicine, Nursing, Health Professions and Graduate Studies (biomedical sciences). Affiliated with the State University of New York, Upstate's mission is to improve the health of the community through education, biomedical research and health care. Innovating Healthcare Through Technology Join our Information Management and Technology (IMT) team at Upstate Medical University to contribute to groundbreaking advancements, where technology meets healthcare. Upstate was recently named a 2025 Best Places to Work in IT by Foundry's Computerworld. This award recognizes the top organizations that challenge their IT staff while providing great benefits and compensation. Our team of over 400 forward-thinking professionals thrives on collaboration and innovation. We believe in the power of collective expertise to drive meaningful change. And we're dedicated to pushing the boundaries of what's possible to improve patient care and outcomes. If you are looking for a career path that merges your passion for technology with a purposeful career that has a direct impact on your community, apply to join our Information Management and Technology (IMT) team at Upstate Medical University. Job Summary: This position is based in Syracuse, NY. Responsible for the coordination, direction and administrative functions for all Mobility & Integrations (M&I) systems and applications within the IMT-Telecommunications department. Independently design and program the M&I software and applications. Make autonomous decisions and create workflows for all M&I systems. Design complex technical solutions for critical communications throughout Upstate Medical University, especially for Nursing. Ensure voice communications and clinical workflows that impact the hospital's operations run seamlessly. Work with all end-users, staff and departments, particularly Network Security & Operations, to troubleshoot potential wired and wireless network issues that impact M&I-supported applications. Directly oversee and/or assist training and education on supported systems to over 5,500 faculty and staff. Lead and/or provide key support for the entire supply chain of supported hardware, equipment and accessories, including Vocera badges. Minimum Qualifications: Associates degree in Business, Telecommunications, Information Systems or related field and 5 years, or a Bachelor's degree and 3 years of experience with user training and support; or equivalent combination of education and experience (7 years); plus solid written and verbal communication skills as well as a proven customer service track record required. Consideration given in lieu of formal degree with requisite experience. Preferred Qualifications: Bachelor's Degree and experience working in a hospital or clinical setting preferred. Apply Online: *********************************************************************************************************************

@ Cleveland,OH ,USA. Requirement Details: Job Title: Senior Oracle Technical Analyst Duration : Long Term Skills : OIC,SCM, Oracle ERP, PL/SQL and SQL Job Description : Bachelor's degree in Computer Science or related field. 6+ years of professional IT experience. Strong Supply Chain Management (SCM) functional knowledge. Supplier domain knowledge. AP / PO knowledge. End-to-end Oracle ERP implementation experience. Preferable experience with Oracle Cloud. PL/SQL and SQL experience - must be able to access, write and execute SQL queries. Strong data conversion experience - will be identifying the rules for data conversion and supporting the integration between downstream environments. Excellent communication and interpersonal skills - will be heavily collaborating with cross-functional teams and external vendors. Plusses: Experience with Oracle Integration Cloud (OIC) If you are interested in the opportunity listed below, please forward your updated resume along with your current contact information, or perhaps you can recommend someone who would be interested in this position.