Top Data & Analytics Jobs in Indianapolis, IN

The HR Data Analyst will develop Workday reports, analyze data quality, coordinate corrections, and improve government reporting processes.

Own customer reporting and analysis across lifecycle metrics (acquisition, retention, churn, LTV). Write and optimize complex SQL in Snowflake, build standardized datasets and dashboards, analyze cohorts and subscription dynamics, support experimentation and measurement, ensure data accuracy through QA and documentation, and deliver executive-ready insights to cross-functional teams.

The Senior Learning Product Strategist will enhance Chegg Skills' products by implementing learning science principles, driving engagement, and translating research into actionable insights for product development.

The Information Governance Supervisor oversees the Information Governance program, managing staff, procedures, systems, training, and compliance across multiple offices.

As a Product Analyst, you will empower Product Managers with data insights, prioritize features based on user trends, and perform competitive analysis to guide product strategy.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.

The Associate, Data Reporting supports data reporting and compliance for government contracts, manages data entry, and ensures data quality for performance tracking.

As Director of Partner Integration, you lead a team of Data Engineers to develop data pipelines, manage client relationships, and ensure high-quality data for AI-driven healthcare solutions.

The Data Engineering Lead will oversee the design and optimization of the data platform, manage a team of engineers, ensure data quality, and collaborate with cross-functional teams for technical specifications and project execution.