Top Data & Analytics Jobs in Indianapolis, IN

Design and own cloud-scale data architectures for industrial IoT telematics. Lead cross-functional data design, build high-volume datastores and pipelines, ensure reliability and performance, mentor engineers, and translate business needs into data models.

The Quantitative Researcher will manage yield opportunities, design algorithms, perform risk analysis, and collaborate with engineers on DeFi strategies.

Lead complex quantitative research projects and develop data-driven solutions for advocacy and commercial clients, providing strategic insights and managing a team of data scientists and analysts.

As an Advanced Analytics Developer, you will lead solution development using SQL and Power BI, conducting business analysis and managing projects to deliver analytics solutions for clients.

Support Go-to-Market and Finance teams by developing and maintaining KPIs, SQL-based analyses from Snowflake, and interactive dashboards in Tableau and Looker to drive insights, monitor data quality, and troubleshoot data issues.

The Clinical Research Lead oversees the execution of clinical trials by engaging investigators, managing sites, and optimizing enrollment strategies in the Oncology field.

Design, build, and maintain dbt-based analytics-ready data models and curated data marts powering a PBM financial risk engine. Onboard and optimize claims, pricing, contract, and utilization data, implement data quality controls, support forecasting and risk metrics, and enable advanced analytics and ML operationalization for finance and underwriting stakeholders.

The BI Engineer will drive marketplace efficiency by leveraging data to optimize performance, analyze marketing effectiveness, and translate complex data into actionable insights for stakeholders.

The IT Intern will assist with data transformation, automate reports, test data systems, and collaborate with business/IT stakeholders.

The Senior Cloud Data Engineer will architect and implement cloud solutions, design data pipelines, and troubleshoot data issues, while mentoring team members and promoting best practices in data engineering.