Top Data & Analytics Jobs in Cleveland, OH

The Business Intelligence and Analytics Manager is responsible for developing and improving the reporting environment using Microsoft Power BI, ensuring alignment with business needs, and providing insights for decision making.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

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

Lead the development of reporting and analytics tools in Tableau, providing insights for decision-making and managing inbound data ingestion. Act as a Tableau expert and mentor for the team, ensuring a strong user experience and collaboration with analytics engineering.

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.