Top Data & Analytics Jobs in Louisville, KY

Directs institutional research, assessment, accreditation reporting, regulatory compliance, and data-informed planning for the university. Analyzes enrollment, academic, financial, and student-success data; produces reports, dashboards, and visualizations; supports institutional effectiveness and strategic planning; improves data quality and reporting processes; and advises university leaders and departments on data interpretation, assessment, and continuous improvement.

Leads commercial data infrastructure, business intelligence, reporting automation, AI-enabled analytics, data governance, and process improvement. Builds dashboards and analytical solutions for forecasting, pricing, profitability, customer segmentation, and market intelligence. Partners cross-functionally with sales, marketing, operations, supply chain, finance, and IT to improve data quality, streamline workflows, and replace manual processes. The role is fully on-site in Louisville, Kentucky, with travel of up to 20%.

Designs and manages Databricks-based data platforms, develops and tests ETL/ELT pipelines, implements data quality controls, integrates APIs and data sources, monitors workflow performance, and documents data architecture. The role collaborates with stakeholders and cross-functional teams to deliver reliable data solutions, with opportunities to guide QA engineers and support Scrum ceremonies.

The Sales Data Coordinator manages US distributor-reported sales and master data within VIP SRS. Responsibilities include maintaining data integrity, auditing depletion reports, resolving discrepancies, managing customer and product hierarchies, supporting sales routing and call point management, and coordinating with IT, distributors, vendors, and sales teams. The role also drives data enrichment, governance, access management, reporting improvements, and data quality processes.

Senior Informatica Developer responsible for development (70%) and support (30%) of ETL/MDM solutions. Build error-handling frameworks with Autosys/Control-M/Tidal, configure PowerCenter grid, use IDQ and Informatica MDM/Cloud, perform performance tuning, Unix scripting, Teradata/SQL work, and data cleansing/profiling/standardization.

Lead architecture, design and implementation of Microsoft BI solutions (SSAS/SSIS/SSRS). Manage BI modules, plan and maintain projects, gather requirements, produce functional specs, direct offshore teams, mentor analysts, control scope/change, and ensure delivery. Healthcare domain experience preferred.

Design, develop, and maintain dashboards, semantic models, and reports using Microsoft Fabric, Power BI, and Snowflake. Analyze high-volume data sets, write and optimize complex SQL (PostgreSQL), ensure data quality, collaborate with cross-functional stakeholders, and support report migrations and deployments. Provide actionable insights to drive business decisions and work independently on complex analytics projects.

Develop dashboards, reporting, and analytics solutions for business teams; monitor performance trends, data quality, risks, and key metrics; investigate complex questions; support A/B testing and instrumentation; and communicate actionable insights to technical and non-technical stakeholders. The role also requires expertise in profit drivers, unit economics, campaign and funnel performance, and the company’s analytics infrastructure.

Leads the database engineering and architecture function supporting medical imaging platforms. Responsibilities include managing and developing database engineers and architects, defining scalable and secure database strategies, overseeing reliability, capacity planning, backup and disaster recovery, enforcing HIPAA and healthcare interoperability compliance, evaluating database technologies, and leading migrations and modernization across cloud, on-premises, and hybrid environments.

Leads actuarial technology and reporting initiatives, expanding adoption of the Actuarial Technology Platform. Designs and implements process improvements for financial reporting and pricing, develops process maps, supports legacy actuarial solutions, and promotes AI-enabled analytics. Collaborates with actuarial data, enterprise analytics, and platform teams while providing technical leadership, governance, issue resolution, training, and mentorship.