Top Senior Data & Analytics Jobs in Indianapolis, IN

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

Thrive Market seeks a Senior Data Engineer to deliver data engineering solutions, collaborate across teams, and manage data architecture, focusing on complex data processing and streaming frameworks.

The Director, Data & Analytics leads Medicaid analytics programs, ensuring delivery of quality solutions, client partnerships, and team leadership for improved outcomes.

Use large healthcare datasets to identify behavioral patterns, build product and client-facing analytics, partner with product and engineering to lead data projects from ingestion through analysis, and help shape data team strategy and recommendations.

The Credit Bureau Business Analyst will manage bureau relationships, analyze credit data, influence strategies, and improve outcomes collaboratively across teams.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

As a Sr. Business Systems Analyst, you will enhance Salesforce and FinancialForce systems, manage business applications, and ensure SOX compliance while collaborating with cross-functional teams.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.