Top Analysis Reporting Jobs in Louisville, KY

Deliver end-to-end healthcare data migration: analyze source systems, develop SQL queries and transformation logic, validate and reconcile converted data, collaborate with clients and teams, and use AI-assisted tools to improve delivery.

Lead and scale Boulevard's data platform engineering organization to build reliable, secure, and performant data pipelines, governance, ML/AI infrastructure, and customer-facing data products. Partner with Product and Insights to deliver reporting and analytics, enforce data quality and HIPAA-compliant security standards, and drive strategic roadmap and operational excellence.

Restructure and maintain Airtable relational architecture for fertility industry data, implement automations and integrations (Zapier, Softr), enforce data governance and permissions, build dashboards and reports, execute data acquisition and enrichment to scale the database, conduct audits, document SOPs, and support onboarding and system monitoring.

Build and maintain GTM and pipeline analytics, own forecasting and pipeline-quality metrics, execute recurring revenue operating cadences, maintain SQL queries and BI views against Salesforce/Redshift, support systems rollouts, and produce ad hoc analyses to inform leadership decisions.

Lead the architecture and development of CareDx's enterprise BI ecosystem. Own Power BI modeling, DAX optimization, governance (RLS, deployment pipelines), and self-service enablement. Collaborate with data engineering to build scalable Databricks/Delta Lake/PySpark pipelines, leverage Microsoft Fabric and Lakehouse architecture, mentor BI developers, translate business needs into analytics solutions, and drive BI performance and reliability.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

Lead advanced analytics and predictive modeling for readiness-based spares and sustainment decisions. Translate business problems into analytical frameworks, build predictive/diagnostic models, document data pipelines, mentor junior analysts, and collaborate with engineering and program stakeholders to support Navy and Department of War programs.

The Senior Data Scientist will analyze and optimize marketing funnels, build statistical models, conduct experiments, collaborate with teams, and mentor junior members.

Own and build audit-ready data architecture, ETL pipelines, and validations to support internal audit. Maintain inventories, playbooks, and catalogs; assess downstream impacts of schema changes; implement automated data quality checks and monitoring; and translate audit/business requirements into technical specifications for stakeholders.

Partner with GTM leaders to turn large datasets into actionable insight, build dashboards and forecasting models, analyze pipeline/retention/productivity, and implement automation and AI-enabled workflows to improve revenue performance and GTM operations.