Top Data & Analytics Jobs in Indianapolis, IN

Lead the development of data solutions using Palantir Foundry, guiding teams, solving complex problems, and ensuring operational excellence while fostering high performance and collaboration.

The Data Program Associate will manage data acquisition, partner with product teams, evaluate business cases, and enhance data quality using AI systems.

The Data Analyst will analyze extensive datasets to identify behavioral patterns, create analytics, and collaborate on data projects with product managers and developers.

Lead Philo's Data team, overseeing data science, engineering, and analytics to provide reliable insights and data-driven solutions across the company.

As a Meteorologist, you will use forecasting tools to identify weather events impacting clients, communicate weather information, partner with analysts, and support customer webinars, all while working with a flexible schedule in a fast-paced environment.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

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 Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

As a Healthcare Analyst II, you will analyze healthcare data to optimize strategies, conduct quantitative analysis, and provide insights for clinical interventions, partnering with cross-functional teams.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.