Top Entry Level Data & Analytics Jobs in Cleveland, OH

As a Data Operations Analyst, you will maintain and enhance Charge Integrity SaaS by utilizing SQL and data analysis to solve complex revenue cycle problems and ensure accurate charge capture.

The Quantitative Fellowship Program is a two-year rotational program focused on developing strong analytical skills for future quantitative analysts in the Federal Reserve System. Responsibilities include performing assessments of risks, analyzing financial data, and interacting with financial institutions, along with extensive training in quantitative topics.

The Data Entry Specialist will input data accurately, requiring strong attention to detail, speed typing skills, and proficiency in MS Excel and Salesforce.

The Payor Analyst processes claims data to drive payer access and revenue growth, supports access strategies, and generates insights for stakeholders.

Gather, clean, organize, model, and report data to support College Raptor enrollment services. Analyze internal data (web traffic, scholarships, sales), build predictive models, create dashboards, perform ad hoc analyses, and deliver timely reports to enrollment consultants and campus partners.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

Comerit seeks multiple consultants for data migration projects involving SAP and AWS technologies. Roles include Data Engineer and Architect positions focusing on Analytics and BI.

The Visualization Architect will lead an analytics solution for Valvoline's Global Products, focusing on metric standardization, reporting consistency, and scalability. Responsibilities include implementing best practices, designing data frameworks, creating dashboards, and coaching resources on analytics methodologies.

Responsible for ensuring data quality through governance, cataloging, and profiling. Familiarity with metadata management and data integration is beneficial.

As a Liquidity Operations Analyst, you will process and validate trading data, monitor liquidity dashboards, and collaborate with teams to ensure operational efficiency.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

Build and maintain dashboards and reports, run data analyses across sales, marketing, product, and finance, write SQL to extract and validate data, partner with stakeholders to gather requirements, and present actionable insights to technical and non-technical audiences.