Top Remote Analysis Reporting Jobs in Indianapolis, IN

Design, build, and maintain scalable, tested data models and transformation pipelines (dbt, Snowflake). Partner with Data Science, Product, and Engineering to codify business logic, enable downstream BI (Hex), enforce Git-based workflows, automated tests, and CI/CD, and drive data quality and observability for clinical and financial analytics.

The Senior/Staff Data Scientist will develop models, data products, and insights for informed decision-making, creating dashboards and reports that drive business operations and outcomes.

The Infor Syteline Implementation Business Analyst will analyze business needs, manage project requirements, and collaborate with IT for system enhancements and training.

The Senior People Data Scientist will deliver HR reporting and analytics using Oracle HCM and Databricks, focusing on data extraction, analysis, and visualization through Power BI. Responsibilities include ensuring data accuracy, compliance with privacy regulations, and collaboration with HR leaders to drive insights and enhance reporting capabilities.

The Senior Data Analyst at Signature Aviation analyzes operational and safety data, develops dashboards, and collaborates with cross-functional teams to improve performance and decision-making.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

The Director of Machine Learning Science will lead teams in delivering ML solutions, drive innovation in search and personalization, and engage with engineering and product teams.

The Product Sales Data Analytics Specialist will develop data pipelines, build dashboards, monitor data quality, and present analytics insights to stakeholders, influencing business decisions.

The GIS Analyst will evaluate and manipulate GIS data, reconcile geospatial analysis and prepare documentation for various GIS projects in public safety.

The role involves building and maintaining data infrastructure, developing data pipelines, optimizing data models, collaborating with teams to provide actionable insights, and deploying AI-driven solutions.

The Control Tester - Data & AI Governance leads testing activities for Data and AI Governance controls, assessing their effectiveness, documenting findings, and communicating with stakeholders.