Top Data & Analytics Jobs

Own enterprise data governance, metadata, lineage, data quality, master data, GxP readiness, cloud data-layer standards, commercial data controls, partner data exchanges, and AI data governance. Lead federated stewardship, executive scorecards, architecture reviews, access models, vendor data governance, and regulatory readiness across clinical, commercial, and corporate data. Partner with Security, Legal, Privacy, Compliance, and QA while building accountable business ownership and trustworthy, rapidly accessible data.

Build and maintain modern data-centric applications, pipelines, transformations, enrichment processes, provisioning layers, and user interfaces supporting clinical and operational healthcare processes. Analyze clinical data and report trends using cloud, big data, data science, and modern software development practices. Collaborate with Product, Platform, and Architecture teams, mentor Data Engineers, document solutions, manage source control, and research emerging technologies.

Supports the eDiscovery Legal Team by managing litigation holds, document collection, subpoenas, legal databases, reporting, and data discovery workflows. Maintains databases and custom scripts, develops dashboards and reports, improves data quality and operational processes, evaluates legal technologies, and documents technical procedures. The role requires collaboration with legal and technical teams, analytical problem-solving, secure data handling, and administration of legal technology tools.

Build and manage Power BI solutions, financial dashboards, and KPI reporting for FP&A. Partner with finance, accounting, and operational leaders on reporting, budgeting, forecasting, financial modeling, and business analysis. Translate data into recommendations, streamline reporting processes, support annual planning, and provide ad hoc analysis of sales, menu, and financial trends.

Paid 12-week internship supporting the Category Insights team through internal and syndicated data analysis, Excel-based work, ad hoc category opportunity projects, data visualization, and presentation development. The intern will collaborate across business functions, create data-driven insights, participate in mentorship and networking, and gain exposure to AI-enabled business systems.

Supports data pipeline development and maintenance for a VA disability claims program. Responsibilities include preparing and cleansing healthcare data, troubleshooting ETL/ELT pipelines, performing data quality checks, documenting workflows, participating in code reviews, and learning claims data systems under senior engineer mentorship.

Leads enterprise data and analytics strategy, platforms, governance, reporting, business intelligence, data engineering, and manufacturing intelligence. Integrates plant systems such as SCADA, historians, MES, quality, maintenance, and production systems with ERP data. Builds and manages the data and analytics roadmap, oversees modernization and vendor selection, partners with senior leaders, and develops a multidisciplinary technical organization supporting trusted, scalable enterprise analytics.

Build and maintain full-stack data engineering solutions supporting BioIntelliSense’s remote patient monitoring and clinical intelligence platform. The role likely involves processing health-monitoring data, enabling analytics, and supporting reporting for clinicians, patients, and employers. Specific responsibilities and qualifications are not provided in the description.

Build and operate data pipelines that integrate customer financial data from ERPs, warehouses, and payment systems. Develop AI agents that automate ERP implementations, partner with implementation teams to understand and transform customer data, and contribute to shared AI platform capabilities. The role requires strong full-stack engineering fundamentals, autonomous execution, and comfort working in an ambiguous, fast-moving environment.

Manages product data across ERP systems, ensuring accurate item setup, attributes, categorization, availability, and launch readiness. Collaborates with Product Development, Marketing, Supply Chain, Finance, and Technology teams to resolve discrepancies, maintain data integrity, improve workflows, support system testing, and train end users. The role requires strong analytical, organizational, communication, and problem-solving skills, along with the ability to work independently and navigate ambiguity.