Top Senior Analysis Reporting Jobs in Cincinnati, OH

As a GIS Specialist, you will apply geospatial analysis techniques, manage databases, and collaborate with engineers and scientists on projects.

Lead design and implementation of the commercial data and systems foundation for launch and growth. Own Salesforce-led commercial systems, integrations, data warehouse, MDM, analytics enablement, governance, and scalable delivery to support commercial operations, reporting, and compliance.

The Senior Product Analyst will analyze data to inform product and engineering decisions, construct dashboards, and work alongside product, UX, and engineering teams to enhance solutions for customers.

Seeking a data scientist with strong skills in PySpark and Python to manage the end-to-end data science workflow, focusing on loyalty programs. Responsibilities include data transformation, predictive modeling, and client interaction to derive actionable insights.

The Solution Architect - Data will lead discovery sessions, translate business needs into data requirements, analyze datasets to validate hypotheses, and produce documentation to guide engineering teams, especially in a retail context.

The Business Analyst bridges business and development, analyzing requirements, creating user stories, and ensuring successful project delivery by collaborating with technical teams.

The Senior Database Administrator will manage database operations, design ETL solutions, oversee data pipelines, and coach junior team members, ensuring a reliable data environment.

The Director of Data Engineering will architect Vibe's data platform and ML infrastructure, ensuring data governance, team leadership, and optimization of data economics for scalable growth.

The Strategic Pricing Analyst at Jamf analyzes financial and competitive data to inform pricing and monetization strategies, assess customer behavior, and suggest improvements for pricing structures.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.