Top Data & Analytics Jobs in Louisville, KY

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Performs quality control and data processing for GIS and mapping services. Responsibilities include supporting data collection processing, documenting data with Microsoft 365 tools, collaborating with analysts to resolve problems, and collecting and inputting data through ESRI and ArcGIS systems. The role requires strong organization, attention to detail, confidentiality, and familiarity with Microsoft Office; ArcGIS experience is preferred.

Analyzes and forecasts financial, economic, operational, and claims data to support strategic decisions. Develops reporting, metrics, models, and data controls; investigates anomalies; monitors claims trends; compares actual experience with forecasts and pricing assumptions; and translates complex findings into recommendations. Provides advanced actuarial guidance to business teams and senior executives, supports Medicare Individual analytics, and helps drive enterprise-wide strategies.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Analyze digital campaign performance across channels, develop dashboards and reports, validate tracking and metrics, and provide data-driven optimization recommendations. Collaborate with media and account teams, present insights to clients, conduct ad hoc analyses, and apply analytics, statistics, and digital marketing expertise to improve campaign outcomes.