Top Data & Analytics Jobs in Cleveland, OH

The Data Management Coordinator ensures data accuracy and organization, supports reporting, and maintains data systems while collaborating across various departments.

As a Competitive Intelligence Analyst, you will gather and analyze competitive insights to support strategic decisions across product, marketing, and sales. This includes monitoring industry trends and creating comprehensive intelligence resources, such as competitor profiles and battle cards, while collaborating with cross-functional teams to enhance competitive positioning.

The Stop Loss Claims Analyst reviews, analyzes, and adjudicates stop loss claims, ensuring proper adherence to policy terms and guiding clients through complex claims.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

As a Sr Credit Risk Analyst, you'll analyze complex datasets to provide insights on credit risk, ensure regulatory compliance, and lead reporting initiatives while mentoring junior team members.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

Develop staffing models, prepare reports, enhance business processes, and collaborate on workforce strategies within claims operations.

As the Client Insights Lead Analyst, you will create analytics strategies, lead data analysis, collaborate with teams, and communicate insights to clients effectively.

The Data Engineer will design and maintain scalable data infrastructure and pipelines, ensuring data quality and security on Azure, while collaborating with client teams.