Top Remote Data & Analytics Jobs in Indianapolis, IN

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

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.

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.

As a Data Engineer, you will transform raw healthcare data into quality intelligence products, lead product development, and mentor junior engineers while collaborating cross-functionally.

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 analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

The Analyst I will own analytics workflows, drive improvements, build data models, and support business metrics while collaborating across teams.

As a Data Analyst I, you will support the analytics team with reports, dashboards, data validation, and project contributions, while building foundational analytical skills.

The Lead Data Governance Specialist manages data integrity and accessibility across platforms, driving best practices, collaboration, and compliance in healthcare analytics.

As a Lead Analyst, you'll optimize trading performance by assessing exchanges, building analytical frameworks, partnering with traders, and developing dashboards.

As a Digital Innovation Co-Op, you'll work on projects involving AI and machine learning to enhance supply chain operations, collaborating with engineers and data scientists to automate workflows and analyze data.