Top Data & Analytics Jobs in Indianapolis, IN

The Analytics Manager will lead the analytics team, optimize data processes, manage KPIs, and create data visualizations to influence business decisions.

Perform hands-on data cleansing, linking, validation, and standardization; monitor and report data quality metrics; identify recurring issues and recommend process or automation improvements; organize and streamline workflows; maintain documentation and data standards; test and provide feedback on tools and AI-assisted features; serve as a point of contact for data integrity questions.

Design, build, and maintain scalable, tested data models and transformation pipelines (dbt, Snowflake). Partner with Data Science, Product, and Engineering to codify business logic, enable downstream BI (Hex), enforce Git-based workflows, automated tests, and CI/CD, and drive data quality and observability for clinical and financial analytics.

The Epicor/ERP Specialist guides the IT team, analyzes business problems, implements MRP systems, and trains users on ERP functionalities.

The Infor Syteline Implementation Business Analyst will analyze business needs, manage project requirements, and collaborate with IT for system enhancements and training.

The Trade Compliance Specialist ensures adherence to trade compliance regulations, manages audits, and liaises with stakeholders on export control matters.

The Business Analyst will identify business needs, analyze data, develop solutions, collaborate with teams, and communicate recommendations effectively.

The role involves producing insights on AI's impact on HR, advising clients, and engaging with stakeholders through various formats and presentations. Responsibilities include research, analysis, ensuring high content quality, and mentoring junior staff.

The Director Analyst will oversee the procure to pay lifecycle, master data management, and procurement data analytics, ensuring integrity and optimizing operations.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

Analyze and forecast financial data for strategic decisions, lead a team, ensure data integrity, and advise executives. Requires extensive actuarial experience and modeling proficiency.