Top Data Analysis Jobs in Lexington, KY

Analyze revenue and growth performance, provide insights on auction behavior, measure A/B tests, define KPIs, and perform root-cause analysis.

The Fraud Analyst monitors transactions for suspicious activity, uses fraud detection tools, documents findings, communicates with clients, and supports the Risk & Compliance team.

Perform sponsorship valuations through research, data modeling, analysis, and client presentations. Maintain valuation database, surface insights, refine methodology, and support strategy projects to inform sponsorship proposals and renewals.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

The Principal Credit Risk & Pricing Analyst will perform statistical analysis, develop credit strategies, communicate recommendations, and collaborate with teams to optimize credit policy and enhance portfolio management in real estate lending.

Perform actuarial analysis and forecasting of financial, economic, and market data for Medicare Advantage underwriting margins. Own assumptions, perform reasonableness checks, troubleshoot data with suppliers, enhance claims/premium forecasting methodology, present monthly results to stakeholders, and extend models to additional lines of business.

Perform quantitative analysis and model development support within an economic capital team. Clean and explore large datasets, run basic diagnostics, build visualizations, and assist in validating predictive and ML models using Python/R/SAS and spreadsheet tools. Help integrate AI-generated code and agentic tools under manager supervision.

Drive analytics to shape customer management strategy across credit, product, and operations. Analyze data, run A/B tests, build business cases, identify process improvements, and partner with Product, Credit, Finance, Engineering, and Operations to improve economics, experience, risk, and efficiency.

Conduct client-facing analysis of POS and retail sales data to produce strategic insights. Scope research, write SQL and Python scripts to extract and analyze large datasets, create executive-ready deliverables, and serve as a power user of Bolt to improve and evaluate AI-driven analytics. Partner cross-functionally and manage client expectations throughout projects.

The Senior Data Analyst will drive product insights through analyses, support A/B testing, and develop reporting to enhance product growth and user acquisition.