Top Remote Data & Analytics Jobs in Indianapolis, IN

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Data Engineer will help build modern data infrastructure, designing ETL pipelines, modeling datasets, and collaborating with teams for improved data quality and accessibility.

The Manager, Data Success Management oversees Data Success Managers, manages data operations, supports partners, improves workflows, and ensures data quality.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead digital measurement analytics for servicing platforms: design/validate data collection, build reporting and feature measurement, collaborate with stakeholders, mentor team members, and drive analytics roadmap and actionable insights.

Lead strategy-science initiatives for credit and fraud across acquisition and account management. Use advanced analytics, experimentation, and ML to identify opportunities, design solutions, and deliver executive recommendations. Partner with cross-functional teams to implement scalable decisioning, mentor junior staff, and measure impact while balancing customer experience and regulatory constraints.

Design and automate scalable ETL/ELT pipelines across relational, event, and unstructured sources; implement data governance, metadata and quality frameworks; architect cloud and distributed storage solutions; optimize physical data models and performance; integrate heterogeneous systems (Snowflake, Fabric, SAP, graph DBs); test, monitor, and modernize data infrastructure to support analytics.

Analyze HR processes, develop automation solutions, maintain Power BI dashboards, and support HRIS systems to improve operational efficiency.

Design, build, and maintain scalable batch and streaming data pipelines, storage, and integrations on AWS. Own features end-to-end, write testable code, collaborate with cross-functional teams, support data scientists with semantic models, ensure data quality, and occasionally travel to customer sites for deployment and integration.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.