Top Data & Analytics Jobs in Cincinnati, OH

Lead design and implementation of complex cloud-based data solutions on AWS. Define strategic roadmaps, advise pre-sales, interview and mentor architects/engineers, and oversee data standards, governance, and operational practices.

Support client-facing performance measurement and reporting: calculate and validate outcomes, maintain dashboards and metrics, automate repeatable workflows, improve metric governance, and translate results into clear insights for internal and external stakeholders.

Lead centralization of performance data, define KPI standards, build scalable data infrastructure and executive dashboards (Looker), deliver cross-functional performance insights, forecasting, and predictive models to drive margin, LTV, and capital allocation decisions.

Manage rebate negotiations and contracts with pharmaceutical manufacturers; analyze utilization and rebate proposals using SQL, Tableau, and Excel; model financial impacts of formulary changes; load and validate rebate agreements and invoicing in Darwin; support clients, account teams, audits, and special projects related to rebates.

The Senior Data Engineer will design and implement complex data models, collaborate on data governance, lead data initiatives, and mentor team members.

Design, build, and maintain Power BI dashboards for MSP and sales teams by cleaning and transforming data, developing data models and DAX measures, documenting reporting logic, supporting ad hoc analysis, and identifying automation and data-quality improvements.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

Provide statistical leadership for oncology Phase I-III trials: develop SAPs/protocols/CSRs, design efficacy and safety analyses, oversee SDTM/ADaM datasets and TLFs, support interim/DMC and adaptive analyses, contribute to regulatory submissions, and mentor junior statisticians.

Design, build, and operate Spark-based ETL pipelines on AWS. Collaborate with stakeholders to deliver reliable data products, ensure data quality and governance, optimize performance, and maintain operational excellence of the data platform.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.