Top Remote Data & Analytics Jobs in Cincinnati, OH

Work with operations, IT, and client teams to manage business applications, schedules, SFTP accounts, and automated reports. Perform data imports/exports, cleansing, QA reporting, trend analysis, and process improvements while maintaining client communication and meeting productivity goals.

Lead and grow a BI and analytics team to build scalable, AI-enabled reporting and self-service analytics. Partner with cross-functional stakeholders to deliver executive dashboards, standardize metrics, ensure data quality and governance, and use AI tools to automate insights and accelerate dashboard development.

Transform and validate large healthcare claims and eligibility datasets, perform data quality audits and reconciliation, design data mappings and ETL validations, generate recurring and ad-hoc reports, partner with engineers, data scientists, and business stakeholders to support analytics, ML use cases, and client deliverables, and drive continuous improvement in data architecture and reporting processes.

The Data & Integrations Engineer will architect, develop, and manage data integration workflows, ensuring effective real-time and batch data exchange for health system partners, while mentoring other engineers.

Support a refrigerated food manufacturer as an individual contributor by analyzing retailer, POS, and household panel data, delivering actionable insights and presentations, managing multiple projects, and building strong client relationships to drive data-informed business decisions and growth.

Lead analytics and insights for Whole Foods Market and Sprouts, turning retailer, syndicated, and POS data into category management recommendations, executive-ready visualizations, and retailer-facing presentations to drive sales and assortment, pricing, placement, and promotional decisions.

Responsible for data governance and stewardship: maintain data quality and metadata, define and enforce data policies and standards, coordinate with business and technical stakeholders, and support compliance and data lifecycle management.

Implement and maintain metadata management solutions (Collibra) across cloud data platforms. Build metadata ingestion, synchronization, lineage capture, and CDE frameworks. Integrate with Databricks Unity Catalog, support governance, stewardship, regulatory compliance, and produce technical documentation and governance artifacts.

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Lead product analytics for digital wallet and emerging payments: define KPIs, build Tableau dashboards, perform segmentation, forecasting, profitability analysis, run test-and-control experiments, and deliver P&L-driven insights to influence product strategy and compliance.

Design, build, and maintain scalable AWS data pipelines, data lakes, and warehouses; develop ETL/ELT processes; create and manage AWS QuickSight dashboards (including RLS, embedding, Topics/Spaces, and QuickSight Q); ensure data quality, governance, security; optimize performance; collaborate with stakeholders and support production reporting.