Top Data & Analytics Jobs in Indianapolis, IN

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

Design, build, and support enterprise BI solutions by aggregating data from multiple sources, developing reports and dashboards (Tableau, SSRS), writing SQL and ETL (SSIS), collaborating with stakeholders, supporting data modeling and governance, and ensuring data accuracy to inform business decisions—with emphasis on behavioral health and healthcare data.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

The Workday Finance Analyst supports financial operations, configures Workday Financials, enhances workflows, manages projects, and provides user support to ensure efficient finance processes.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

Support implementation of Bluesight SaaS by extracting, transforming, loading, and validating customer data. Configure infrastructure, write and debug scripts, communicate findings to customers, document processes, and collaborate with product and engineering to improve pipelines and resolve technical issues.

Lead GTM productivity analytics: build and maintain predictive capacity models and dashboards, analyze GTM performance and attainment, support planning and forecasting, align metrics across Ops/Finance, and partner on data infrastructure improvements to drive GTM efficiency and growth.

Lead and support statistical programming deliverables for clinical studies: implement protocol programming, ensure high-quality outputs and documentation, write/implement specifications, enforce standards and compliance, contribute best practices, manage tasks, communicate risks, and collaborate with statisticians, data managers, and study leads.

Lead statistical programming strategy and teams for clinical studies, oversee development/validation of SDTM/ADaM datasets and TLFs, ensure regulatory submission readiness (eCTD), drive SAS/R workflows, automation, and cross-functional collaboration with biostatistics, data management, and regulatory teams.

Lead RWE study design and execution: develop protocols, statistical analysis plans, and R/SQL programs to produce analysis-ready datasets, tables, and figures; apply causal inference, time-to-event, and predictive methods; collaborate with scientists and stakeholders to deliver RWE insights.

Design, build, and optimize distributed query solutions using Starburst/Trino. Enable secure, governed data access across cloud and on-premises sources, implement data federation and query optimization, support IAM and governance in a federal environment, develop backend services and CI/CD, and troubleshoot performance in cloud-native systems.