Top Analysis Reporting Jobs in Omaha, NE

The Actuarial Analyst aids the Actuarial Services team with pricing, data analysis, and financial assessments to enhance organizational objectives.

The role involves extensive project phases, including requirement gathering, system configuration, data migration, and HCM Cloud expertise, particularly with BI Reports and HDL.

Support treasury functions including liquidity management, capital planning, regulatory reporting, and mortgage-related market activities, requiring financial and analytical skills.

Build, optimize, and support cloud-based SQL Server and Azure database environments. Deploy scalable, compliant data platform solutions, troubleshoot performance, implement IaC, mentor engineers, and support analytics lakehouse and real-time clinical workflows while ensuring regulatory compliance.

The Associate Actuary analyzes financial data to support strategic decisions, maintains NPV models, and collaborates with stakeholders on data integrity and analysis.

Support cross-functional teams by driving data-driven decisions: design and analyze A/B tests, leverage ML models for insights, define growth levers, and automate operational processes to scale customer acquisition and partnerships.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Senior domain expert responsible for translating payment integrity domain knowledge (CR, COB, DM) into scalable rule logic, workflows, automation, and AI-enabled solutions. Partners with product, engineering, analytics, and operations to design, govern, and continuously improve rules, orchestration, and automation to reduce false positives and prevent improper payments.

Own revenue analytics and reporting infrastructure to drive go-to-market efficiency. Build and maintain dashboards, ensure data accuracy across the revenue tech stack, perform cohort analyses and forecasting, automate reporting, analyze distribution productivity, pipeline health, and onboarding efficiency, and collaborate with finance on revenue recognition and bookings reconciliation.

Design, build, and maintain scalable, reliable data pipelines and services. Write well-tested Python and SQL code, work with orchestration (Airflow), containers, and cloud infrastructure. Collaborate cross-functionally to deliver data products and improve development processes.