Top Remote Data & Analytics Jobs in Indianapolis, IN

Lead product analytics function, manage a team of analysts, drive data-informed decisions, and partner with Product and Engineering teams.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

As a Data Analyst at Doximity, you will analyze extensive datasets, work with cross-functional teams, create analytics, and inform data strategies to enhance healthcare solutions.

The Data Program Associate/Manager will identify data acquisition opportunities, collaborate with product teams on datasets, and build AI systems for data improvement.

Lead data governance for assigned domains: implement policies, monitor and remediate data quality, perform profiling and lineage documentation, track data quality KPIs, partner with stakeholders to embed standards, and support MDM and governance training.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

Design and deploy GenAI-driven marketing analytics: build SQL pipelines, Python automation and FastAPI endpoints, develop attribution, RAG and multi-agent LLM solutions, fine-tune/evaluate models, and operationalize insights via cloud and visualization tools to improve marketing performance.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead statistical programmer responsible for developing SDTM and ADaM datasets, producing TLGs, creating reusable SAS macros, validating outputs, configuring CDA in elluminate, mentoring programmers, and ensuring regulatory and quality compliance for clinical trial reporting.