Top Data & Analytics Jobs in Indianapolis, IN

Design, build, test, and deploy cloud-based data pipelines, warehouses, and ETL/API integrations (Snowflake, AWS). Collaborate in agile squads, mentor junior developers, ensure data quality, and support analytics and reporting solutions.

Interns will solve client business problems by leveraging analytics and research, designing custom analyses, and communicating results effectively.

The Senior Data Analyst will lead analytics projects, translate complex data into insights, and support product strategies across various teams, ensuring data-driven decision making.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

As a Data Analyst at Doximity, you will analyze extensive datasets, work with cross-functional teams, create analytics, and inform data strategies to enhance healthcare solutions.

The Data Program Associate/Manager will identify data acquisition opportunities, collaborate with product teams on datasets, and build AI systems for data improvement.

Lead product analytics, experimentation, and dashboarding to measure feature impact and improve retention. Design rigorous A/B tests (including pricing), build Looker/Hex dashboards, automate reporting, and partner with cross-functional teams to drive data-informed product decisions.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

The Senior Actuarial Support Analyst will analyze healthcare data, produce client-facing reports, and present insights to stakeholders. The role involves collaboration with various teams to improve customer value and reporting accuracy.

Lead cost savings and impact modeling, develop actuarial methodologies, oversee analytics projects, partner with teams on data requirements, and assess financial impacts of new programs.