Top Data & Analytics Jobs in Cleveland, OH

The role involves identifying user friction points through data, maintaining KPIs, developing an analytical roadmap, and collaborating with cross-functional teams to enhance product experience. The manager will also mentor a team focused on technical excellence and accountability.

As a Supervisor in Analytics, you will lead media analytics projects to generate insights and support client decisions, managing analytics teams and client communications effectively.

The Data Entry Assistant is responsible for maintaining data accuracy, performing quality checks, and managing electronic files in a remote work setting.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

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.

The Senior Data Analyst will analyze trends, develop segmentation frameworks, create dashboards, manage risk rules, and support audits and projects.

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.

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.

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

The Senior Quantitative Analyst is responsible for building data pipelines, conducting Monte Carlo simulations, and converting complex Excel models to code while communicating effectively with stakeholders.