Top Reporting & Insights Jobs in Lexington, KY

As a Senior Actuary, you'll lead profitability assessments, refine pricing, develop actuarial models, mentor juniors, and oversee regulatory filings.

The Customer Insights Analyst will collect quantitative and qualitative research to support strategy and provide data-driven insights for customer growth and retention.

Own revenue metrics, reporting, and deep-dive analyses to optimize sales and marketing performance. Build complex financial and operational models, automate data enrichment and workflows, audit commissions and funnels for data integrity, and partner with stakeholders to drive data-informed GTM decisions and expansion.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Build and maintain Salesforce reports/dashboards, analyze marketing and funnel performance, partner with Marketing/RevOps, experiment with AI-driven data/enrichment workflows, ensure data quality across systems, and present insights to leadership.

The Senior Manager, SEO oversees SEO strategy for clients, conducts audits, leads teams, and ensures project success, enhancing online visibility.

Optimize publisher monetization by analyzing bidstream and auction data, building monitoring/alerting systems, running A/B tests, performing root-cause analyses, and producing actionable insights for cross-functional teams to maximize yield and revenue.

The Senior Data Analyst will analyze financial data, build SQL datasets, develop dashboards in Tableau or Power BI, and support Finance teams in decision-making processes.

The role involves project management, efficiency analysis, quality assurance, and systems management with a focus on improving operational workflows and processes.

Build and maintain dashboards and reports (Excel, Tableau, Sigma) by pulling and modeling production data (SQL, Python). Create pricing models for RFPs, define operational and financial metrics, optimize queries and data structures, run A/B experiment analyses, and partner with business leaders to generate insights and recommendations to improve roadside assistance operations and performance.