Top Remote Data & Analytics Jobs in Cincinnati, OH

As a Sr. Staff Deployment Strategist, you will drive business transformation by partnering with clients to design and implement AI-powered data intelligence solutions, ensuring value realization and client integration.

The Data Quality Specialist ensures high-quality data flows into Rezilient Health's warehouse by validating and reconciling clinical and claims datasets, while collaborating cross-functionally to enhance data integrity and operational processes.

As a Senior Product Analyst, you'll analyze user behavior and product performance, create KPIs, and present insights to stakeholders. This role emphasizes collaboration with various teams and effective communication of analytical findings.

The Senior Specialist supports growth through data-driven insights and performance analysis, translating data into actionable insights, and collaborating with cross-functional teams.

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

The Pension Actuary supports actuarial analysis, develops reports, evaluates programs, manages projects, and facilitates client discussions while interpreting regulations.

The Senior Director of Biostatistics at Gilead leads data analysis initiatives, directs cross-functional teams, and supports company priorities in statistical analysis and reporting. They ensure effective scientific communication and contribute to strategic departmental initiatives.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

The Product SME specializes in enhancing revenue cycle performance through data analysis, automation, and denial prevention strategies, collaborating with stakeholders to design and implement best practices.