Top Analysis Reporting Jobs in Indianapolis, IN

Design, build, and maintain scalable cloud-based data pipelines and models (AWS, Snowflake). Implement ETL/ELT, data quality checks, automated tests, and monitoring. Collaborate with product owners, data scientists, and stakeholders to translate requirements, perform data profiling and troubleshooting, document data flows, and drive continuous improvements.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

The Senior Business Intelligence Analyst will provide analytical support across various departments, focusing on billing and subscription analytics, to inform decision-making and improve business outcomes through data-driven insights.

Lead a data engineering team building pipelines, transformations, and analytics infrastructure in Azure/AWS/Snowflake. Champion spec-driven, AI-assisted development, ensure secure scalable systems, govern AI-generated code, and partner with product and platform teams.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Own customer data migration projects end-to-end: review, clean, map, import, validate, and QA records (events, tickets, customers, orders, donations, opt-ins, seating). Troubleshoot and monitor integrations (POS, CRM, marketing, reporting) using SQL, CSVs, APIs, webhooks, logs and admin tools. Build repeatable playbooks, documentation, and processes to reduce engineering dependency and ensure production data accuracy.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Implement, configure, and test decision engine process flows and rule changes. Execute QA, A/B tests, and historical backtesting. Validate data integrity between vendors and core apps. Gather requirements, document processes, and collaborate with Pricing, Risk, and Engineering to ensure accurate, efficient decisioning.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.