Top Data & Analytics Jobs in Cincinnati, OH

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Design and customize Sage Intacct, develop financial reports, support data migration, and train users while ensuring compliance with GAAP.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Own and evolve the data platform: architect, build, and maintain data models, pipelines, and access layers. Ensure data quality, governance, and reliability; monitor and optimize infrastructure; provide technical leadership, code reviews, and collaborate with cross-functional teams to deliver scalable data solutions for operations and analytics.

Senior member of the Data & Analytics team who translates operational reporting requirements into Epic- and Qlik-based analytics solutions. Develops RW SQL reports, Radar dashboards, and self-service artifacts; validates data, mentors junior analysts, enforces best practices, supports intake/prioritization, and coordinates training and legacy-to-new-tool migrations.

The Pricing Analyst will develop accurate pricing for drayage opportunities by analyzing market data, costs, and operational realities, and support bid processes and cross-functional collaboration.

Lead design and implementation of a medallion lakehouse on Microsoft Fabric, build ingestion pipelines, data models and BI dashboards, create AI/LLM tools for business users, enforce data governance, mentor data teams, and partner with stakeholders to enable self-serve analytics across marketing, product, finance, and clinical functions.

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.

Lead analytical support for commercial and sales teams to identify growth opportunities, build advanced reporting and tools (Power BI/Tableau, SQL, Excel), track strategic initiatives, support territory optimization and customer segmentation, develop consumer insights, and provide ad-hoc analysis to drive sales force effectiveness and EBITDA goals.