Top Analysis Reporting Jobs in Louisville, KY

This role involves partnering with audit leadership to enhance data analytics and automation within finance, improving efficiency and decision-making processes.

The Total Rewards Analytics Specialist will analyze and support compensation and benefits programs, developing insights and reporting for decision-making within Human Resources.

The Senior Manager leads global insights and performance analytics initiatives, focusing on data-driven media strategies, audience segmentation, and analytical frameworks to support business growth and decision-making.

This role involves leading Reltio-based Master Data Management (MDM) implementations, defining architecture, establishing governance, and collaborating with teams to create solutions across multiple domains.

Lead the design and delivery of enterprise-scale knowledge graph solutions for the U.S. Government, focusing on architecture, operationalization, and integration of complex data systems.

As a UX Research Intern, you will assist in user research, data collection, and analysis to improve product experiences for children.

Design and maintain cloud data lake architecture, build ingestion and transformation pipelines from SaaS sources, enable analytics and BI (Tableau/Looker), enforce governance, and lead technical direction across teams.

Lead the data management strategy and team to design, build, and maintain scalable ETL pipelines and data infrastructure. Implement data governance, ensure data quality, optimize performance using tools like Airflow, Iceberg, Trino, and Spark, and collaborate with cross-functional teams to make data accessible and actionable.

The Business Analyst collaborates with teams to identify needs, gather requirements, improve operations, and ensure IT solutions align with business objectives, especially within the healthcare industry.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Lead operational, strategic, and analytical initiatives to improve alerts, data coverage, and AI model ROI. Conduct R&D and data analysis, build algorithmic data streams, collaborate with cross-functional teams, and present strategic insights to inform decision-making.