Top Remote Data & Analytics Jobs in Indianapolis, IN

The Claims Analytics Manager leads a team in analyzing healthcare claims, setting methodologies, and aligning with client goals to drive financial outcomes.

The Analytics Engineer will design and maintain analytical data models, ensure data pipeline reliability, and collaborate with stakeholders to meet data needs. Responsibilities include data documentation, investigation of discrepancies, and contribution to AI data initiatives.

The Senior Data Engineer will implement a new data architecture, build core data systems, and ensure operational excellence, focusing on AI feature development and data governance.

The IT Business & Data Analyst role involves optimizing SQL queries, creating interactive dashboards, analyzing data trends, and configuring core business systems. The analyst collaborates with stakeholders to document requirements, supports data integrity, and conducts user acceptance testing.

The Analytics Manager II at BlueLabs leads data analysis, report generation, and client presentations. This role involves mentoring analysts, managing projects, and utilizing statistical tools and software to derive insights from large datasets.

The Quantum - Data Conversion Lead will oversee data readiness, manage data conversion plans, coordinate with teams, enforce standards, and ensure quality during system migrations and data transformations.

The Senior Pricing Analyst will develop analytics models, automate pricing strategies, maintain reporting systems, and mentor junior analysts to optimize pricing performance and drive business impact.

The Policy Data Analyst will analyze complex criminal justice data, generate insights for policy reform, and communicate findings to stakeholders to improve justice outcomes.

The Data Infrastructure Engineer will centralize data capabilities, improve data pipeline architecture, and ensure efficient data access across teams while optimizing GCP usage.

Design, develop, and maintain SSRS and Sigma reports and dashboards; write and optimize SQL; collaborate with data warehouse team; document BI tools; unit test and troubleshoot reports; manage projects independently.