Top Data & Analytics Jobs in Cleveland, OH

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

Perform hands-on data cleansing, linking, validation, and standardization; monitor and report data quality metrics; identify recurring issues and recommend process or automation improvements; organize and streamline workflows; maintain documentation and data standards; test and provide feedback on tools and AI-assisted features; serve as a point of contact for data integrity questions.

The Capital Analytics Lead will analyze capital, margin, liquidity, and counterparty risk, support regulatory engagement, and produce insights for senior leadership.

The Senior Analyst, People Analytics analyzes workforce data, translates business questions into KPIs, and collaborates with various teams to deliver insights and reporting solutions.

As an intern, you will design and optimize dashboards in Sigma, write SQL queries for data extraction, and use Python for data manipulation, all while collaborating with the data team.

The Senior Growth Analyst will lead data analytics efforts, develop BI dashboards, engage stakeholders, and ensure data governance within healthcare analytics.

The Business Systems Analyst translates business needs into system requirements, ensuring effective data governance, AI readiness, and operational efficiency across Teachstone's systems.

The Data Migration Specialist plans and executes data migrations for EvenUp, ensuring accurate and secure data transfer into their platform and supporting customer adoption.

The Business Operations Analyst will centralize and improve corporate reporting and business intelligence while executing data acquisition for patient data initiatives. Responsibilities include metric compilation, dashboard design, and data analysis across multiple teams.

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.