Top Entry Level Data & Analytics Jobs in St. Louis, MO

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

The Solutions Associate will support Zeta's Data Cloud team by managing client inquiries, enhancing operational processes, and driving product insights to improve client satisfaction and growth.

The Financial Analyst supports the consulting team with analytics for clients, focusing on reporting, underwriting, and cost-saving strategies through advanced data technologies and collaboration.

The Catastrophe Modeling Analyst supports catastrophe modeling, data analysis, and communication, preparing exposure data and interpreting model results to provide insights for clients. Responsibilities include monthly modeling, dashboard development, stakeholder communication, and contributing to team growth.

Evaluate and rate search results in Simplified Chinese to improve search engine quality and augment AI data. Complete weekly tasks remotely (10–25 hrs/week), follow client rules and conventions, pass training and quality tests, and sign an NDA.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

Remote Data Entry Assistant responsible for accurately entering, updating, and maintaining data, performing quality checks, organizing electronic records, generating reports, ensuring confidentiality, and meeting productivity targets while collaborating with team members.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

Evaluate Indonesian educational videos for pedagogical quality and alignment with grade-level standards. Map learning objectives to localized search terms, tag and categorize content, perform QA audits, and help standardize evaluation frameworks. Work remotely to manage high-volume data tasks and provide written rationales for tagging decisions.