Top Remote Data & Analytics Jobs in Indianapolis, IN

The Data Analyst will deliver automated reporting, analyze complex data sets, support client output formats, and enhance data governance processes.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

Responsible for creating and maintaining technical documentation for developers, ensuring clarity and effectiveness in conveying product capabilities and usage. Collaborate with engineering and growth teams to enhance resources while gathering feedback for continuous improvement.

The Analytics Engineer will design data models, maintain analytics pipelines, document data governance, and partner with stakeholders to address data needs.

Build and own customer data ingestion and large-scale pipelines powering AI workers. Design syncing, retrieval, and data lake systems, improve reliability/observability, partner with product/backend teams, and contribute across infrastructure to give AI agents access to enriched customer data.

The Data Integration Engineer will manage data integrations and ETL processes for healthcare data, ensuring accuracy and accessibility for business users.

The Quantitative Researcher will analyze crypto markets, build trading strategies, and develop systems for performance analysis and risk management.

Serve as the primary bridge between IT and business partners to translate data needs into actionable data products (DaaP). Design enterprise data models, recommend technical solutions, oversee functional requirement translation to development-ready stories, ensure governance/security compliance, validate UAT, and communicate impact to stakeholders while supporting the ADI program.

As a Senior Data Engineer, you'll design and maintain data pipelines, collaborate with teams to optimize data processes, and provide mentorship to junior members.

The role involves driving the identification of requirements, improving systems processes, developing prototypes, and ensuring usability in product development projects within an AI company.