Top Senior Data & Analytics Jobs in Cincinnati, OH

Translate web and marketing behavior data into actionable insights: measure website and marketing performance, analyze funnels and journeys, design and evaluate A/B tests, build reports and dashboards, monitor analytics integrity, and partner with cross-functional teams to define measurement and optimization opportunities.

Lead enterprise data governance strategy and programs. Partner with stakeholders to define policies, data ownership, stewardship, metadata, and MDM. Drive data quality improvements, document requirements, implement governance controls with architects/ETL teams, support governance councils, monitor KPIs, and ensure regulatory compliance.

Serve as liaison between business and IT to translate requirements into technical solutions. Analyze processes, develop and maintain automated workpapers and reports using VBA, Power Query, and SQL, support system design and testing, document workflows and user guides, improve automation and data integrity, and collaborate with stakeholders and IT to implement scalable reporting solutions.

Lead cross-channel customer experience analysis by combining quantitative and qualitative signals (NPS/CSAT/CES, contact center, digital analytics, transactional and complaint data). Design and run deep-dive investigations, translate findings into operational recommendations, coach analysts, partner with channel owners, and maintain measurement and narrative standards to drive quarter-over-quarter operational change.

The Data & Analytics Leader will develop a multi-year roadmap to enhance data governance and analytics capabilities, while fostering a data-driven culture throughout ERAC.

Lead enterprise data architecture, governance, integration, and platform roadmap. Establish data models, lineage, cataloging, access controls (RBAC/ABAC/IAM), and M&A data integration while partnering with Finance, GTM, HR, IT, Security, Legal, and Product to ensure trusted, secure, and usable enterprise data.

Own design and implementation of a greenfield analytical data platform: ingesting PostgreSQL and Kafka streams, establishing governance, data lineage, quality, monitoring, and compliance-ready pipelines. Evaluate AWS-native tooling, Snowflake, and Databricks; produce RFCs and documentation; mentor junior engineers and ensure analytical systems remain downstream of transactional sources.

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.

Design, build, and operate scalable cloud-native data pipelines and data lake/fabric architectures for Revenue Cycle Management. Implement ETL/ELT, integrate structured and unstructured sources and APIs, ensure data quality, lineage, and governance, and support AI/ML and analytics workloads with CI/CD and DevOps practices.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.