Top Data & Analytics Jobs in Cincinnati, OH

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

The Programmatic Analyst will support campaign pricing and audience targeting strategies, analyze performance data, and collaborate with sales and operations teams to enhance campaign effectiveness.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

The Analyst I will own analytics workflows, drive improvements, build data models, and support business metrics while collaborating across teams.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

As a Data Analyst I, you will support the analytics team with reports, dashboards, data validation, and project contributions, while building foundational analytical skills.

The Lead Data Governance Specialist manages data integrity and accessibility across platforms, driving best practices, collaboration, and compliance in healthcare analytics.

As a Lead Analyst, you'll optimize trading performance by assessing exchanges, building analytical frameworks, partnering with traders, and developing dashboards.

As a Digital Innovation Co-Op, you'll work on projects involving AI and machine learning to enhance supply chain operations, collaborating with engineers and data scientists to automate workflows and analyze data.

The Senior Data Analytics & Insights Manager drives the development and delivery of scalable data products for GTM decision-making, engaging with stakeholders to create insightful dashboards and metrics through Tableau and BI governance.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.