Top Data & Analytics Jobs in Indianapolis, IN

Lead Databricks pre-sales discovery and design Lakehouse architectures, author proposal technical content, run proofs-of-concept, and act as lead architect on major engagements. Own the Databricks partner relationship and co-sell motion, drive certification and internal enablement, resolve performance and governance challenges, and ensure successful production handoffs while building partner-sourced pipeline and scaling the Databricks practice.

Manage and optimize Corteva's sustainability tech stack and data pipelines (MSM, ERA, Fabric). Maintain dashboards, integrations, governance, security, license management, and reporting. Troubleshoot data issues, run remediation jobs, generate ESG analytics, and lead change management and documentation efforts.

Build and maintain enterprise data platform and ETL/ELT pipelines, design and deploy data models, ensure data quality and governance, integrate third-party sources, and support analytics and AI initiatives across the organization.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

Lead development and delivery of Tableau dashboards: gather requirements, blend complex data sources (Oracle, MS SQL), design and prototype visualizations, administer Tableau site, deploy dashboards, mentor team, support Medicaid stakeholders, and define governance and standards.

As a Snowflake Data Engineer, you will design and maintain scalable data pipelines, optimize SQL transformations, and support analytics platforms, collaborating with stakeholders.

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.

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.