Top Data & Analytics Jobs in Indianapolis, IN

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.

Lead analytics engagements focused on Adobe Analytics and Customer Journey Analytics: implement/configure tools, build dashboards and reports, provide training and enablement, deliver insights to improve customer experience, and ensure data security and privacy compliance.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

As the Deal Desk Lead, you'll manage deal execution, optimize sales workflows, and collaborate across Finance, Sales, and Legal to enhance operational efficiency and scalability.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

Lead development of analytics platforms at GameChanger, enhance BI tools, define metrics, and contribute to data modeling for insights.

The Solutions Consultant will analyze deal economics and performance metrics, educate partners about Upstart products, and collaborate with multiple teams to drive partner adoption and strategic decisions.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.