Top Data & Analytics Jobs in Cleveland, OH

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.

The Revenue and GTM Insights Lead is responsible for developing dashboards, analyzing data, providing insights, and supporting revenue strategies across multiple functions.

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 Analyst, Insurance Compliance will conduct insurance reviews, ensure accurate data management, and support exception management within a compliance platform, while learning insurance requirements.

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 Manager, Data Analysis oversees centralized monitoring for clinical trials, ensuring effective RBQM systems, data analysis, and reporting while collaborating with cross-functional teams.

The Engagement Manager will oversee the data modernization lifecycle, coordinating with partners to implement modern data platforms and manage multiple concurrent engagements effectively.

The Senior Data Analyst will analyze large datasets, manage data requests, support data governance, and collaborate with teams to ensure data integrity and quality.