Top Data & Analytics Jobs in Indianapolis, IN

Build and maintain Salesforce reports and dashboards, analyze data and resolve quality issues, leverage AI tools for reporting, drive process improvements and manage projects, document solutions, and train stakeholders to increase data literacy across the organization.

Design, build, and maintain automation workflows and data pipelines across admissions, education, career services, and billing. Create BI dashboards, ensure data accuracy, manage lightweight databases (e.g., Supabase), and support cross-functional teams to improve operational efficiency and scalability.

Lead analytics for member engagement and revenue recognition: build and validate Braze attributes, run attribution and A/B test analyses, maintain Looker dashboards, join campaign and engagement data via SQL/DBT, and provide actionable recommendations to Member Operations and Marketing.

Design and scale fraud-mitigation strategies for buyer, seller, and account fraud across Stripe products. Monitor portfolios, identify and predict risky behavior, propose controls, automate workflows, collaborate with Product/Engineering/Data Science, and educate users to minimize losses while enabling growth.

Partner with stakeholders to gather requirements, validate integrated datasets, and deliver trusted insights via SQL-driven analysis and Tableau/Qlik dashboards to support federal healthcare operational decisions.

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Design, develop, and maintain enterprise Power BI reports, dashboards, and semantic models for healthcare, finance, and operations. Build complex DAX measures, optimize performance, administer Power BI Service (security, refreshes, gateways, deployment), establish governance, and collaborate with stakeholders to translate requirements into actionable analytics.

Support data migration projects by preparing, validating, transforming, and testing data. Validate field mappings, run SQL queries, perform data quality checks and reconciliations, document processes and findings, and assist cross-functional teams and clients under senior guidance.

Analyze, clean, and validate data from multiple sources; develop and run SQL queries; calculate KPIs and financial metrics; create visualizations and present insights to non-technical stakeholders; collaborate with business partners to translate requirements into data-driven recommendations.

Support data migration projects by preparing, validating, mapping, transforming, and testing data. Use SQL and data tools to perform quality checks, reconciliation, and troubleshooting. Collaborate with Engineering, Implementation, and Client Success teams, document processes and findings, and assist client migration activities under senior guidance.