Top Data & Analytics Jobs in Cincinnati, OH

Analyze financial, transactional, and sales data to identify trends, variances, and opportunities. Build reports and visualizations, support budgeting/forecasting and variance analysis, partner with FP&A and BI teams, and provide recommendations to improve Travel operations and performance.

The Developer, Data and Integration maintains and develops scalable integration solutions focusing on B2B/EDI transactions, working with business units to translate data needs into technical solutions, and ensures the reliability and performance of data flows.

Leads the strategy, engineering, operations, and adoption of enterprise data governance platforms, including data catalogs, metadata, lineage, MDM, RDM, data quality, profiling, and governance automation. Builds and develops platform engineering and product teams, manages roadmaps, budgets, vendors, and operating models, and partners with data, AI, security, risk, compliance, and business leaders to deliver trusted, discoverable, compliant, and reusable data foundations.

Lead assortment analytics by combining multiple data sources to deliver actionable insights, build dashboards/reports (Power BI/Adobe), define KPIs and measurement, present findings to stakeholders, and help enable analytics capabilities for emerging AI use cases.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

Analyze multiple data sources, translate complex findings into actionable business insights, and communicate recommendations to cross-functional teams. The role supports Brand Management, Finance, Sales, and other partners by delivering real-time insights, influencing business decisions, solving ad hoc problems, and developing scalable analytics solutions that improve business results.

Collect, analyze, and interpret complex datasets to create and maintain customer-facing Tableau reports; collaborate with customer services and development teams to scope reports and data models; investigate data accuracy issues and communicate insights to stakeholders.

The Sr. IT Business Analyst will support digital/mobile projects by analyzing business requirements, leading teams, assisting in testing, and fostering Agile Scrum methodology.

The Cloud Data Engineer will design and develop data warehouse solutions, create efficient data pipelines, collaborate with teams, and monitor system health.

Data and Analytics Consultants solve business challenges, drive data strategies, and implement solutions while collaborating across various organizational levels.