Top Senior Data & Analytics Jobs in Cincinnati, OH

The job requires an experienced ETL Tester with skills in Informatica Data Quality, testing methodologies, SQL, and Agile processes. The candidate will perform IDQ development testing and data analysis, primarily focused on backend data testing.

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.

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

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

Design, build, and maintain production ETL/ELT pipelines, analytics-ready data models, and cloud data infrastructure. Improve pipeline performance, data quality, governance, and migrate legacy systems to modern platforms. Collaborate with stakeholders to translate business requirements into reliable data products for project, financial, and operational analytics.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Produce executive-grade briefs from cross-functional research and listening programs under compressed timelines. Shape questions, synthesize quantitative and qualitative evidence, craft recommendations and visuals for C-suite and Board, coach analysts, and track briefing-driven decisions to close the loop.

Design and manage VoC instruments and recurring feedback programs, ensure data quality, synthesize insights, and own the insights repository, decisions journal, and methodology library. Partner with VoC and KM vendors, run institutional-memory rituals (intake, closeout, handoffs), coach peers on VoC craft and documentation, and maintain taxonomy and metadata for enterprise-scale reuse.

Lead research and listening for a specific audience: design and run primary research, integrate listening signals, synthesize quantitative and qualitative insights, and deliver timely, decision-oriented recommendations while coaching analysts and partnering with enterprise stakeholders.

Bridge enterprise customers' legacy BI to Hightouch by reverse-engineering complex marketing reports, building reusable reporting frameworks, engineering and documenting semantic/context layers, ensuring accurate SQL generation, and training non-technical marketers while collaborating cross-functionally to deliver reliable, idempotent AI-driven analytics.

Design, build, and maintain dbt data models and scalable ELT pipelines; optimize performance-aware SQL on Snowflake; ensure observability, testing, and CI/CD; partner with product and engineering teams to meet analytic needs, mentor engineers, document business logic, and troubleshoot ingestion, transformation, and warehouse issues.

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.