Top Analysis Reporting Jobs in Indianapolis, IN

Process and QA/QC geospatial sensor data (LiDAR, GPR, GNSS, UAS imagery), convert and standardize datasets for CAD/GIS/BIM, produce 2D/3D deliverables, maintain templates and archives, and collaborate with field and CAD/GIS teams to ensure accurate, client-ready mapping outputs.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Design, develop, test and implement ETL processes for a new Collection platform. Build SSIS packages on SQL Server 2008, write Unix shell scripts, integrate with .NET/C#/VB.NET or other ETL tools (Informatica, DataFlux, Pervasive), and communicate with stakeholders to deliver reliable data pipelines.

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.

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.

Lead and grow a data engineering team to build a trusted, fast, composable, and self-serve data platform. Define architecture and roadmap for ingestion, transformation, governance, and analytics; ensure reliability, observability, and security; partner cross-functionally with Product, Analytics, Security, and Engineering; be a hands-on player-coach delivering scalable data systems using Snowflake, dbt, and self-serve analytics.

Drive revenue operations analytics by building reliable data models and dashboards, querying large datasets in Snowflake, ensuring data integrity across the revenue tech stack, and delivering strategic insights to Sales, Marketing, and Customer Success using Looker, Domo, SQL, and scripting.

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

Support supply chain and logistics by developing and automating reports and dashboards, analyzing large datasets to identify trends and process improvements, ensuring data accuracy, monitoring KPIs (on-time delivery, inventory turns, transportation costs), assisting root-cause analyses, and collaborating with operations, procurement, finance, and IT to deliver actionable insights.

The Enterprise Finance Master Data Steward oversees finance master data quality and governance, ensuring its integrity and usability while collaborating with IT and business stakeholders.