Top Entry Level Data & Analytics Jobs in Denver & Boulder, CO

The Quality Assurance Analyst provides technical support to field technicians, audits completed work, analyzes data, and ensures compliance with standards.

Provide monthly, quarterly, and ad hoc reporting and analysis for the Department of Neurology. Develop and maintain EPIC reports, physician operating statements, billing/receivable and budget reports; support forecasting, strategic planning, and serve as EPIC reporting super user.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

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

Design, build, and maintain scalable ETL/ELT pipelines and data models to populate the data warehouse. Write reusable SQL and Python to transform data, monitor pipeline reliability and quality, enable AI workflows, collaborate with stakeholders, and drive adoption of modern data stack technologies (DBT, Iceberg, Databricks). Support data governance, observability, and security practices.

Part-time remote data entry assistant responsible for organizing, inputting, and updating data, ensuring accuracy and confidentiality. Provides administrative support to the remote team, manages priorities, and maintains efficient time management.

Analyze conversational call flows and large datasets to optimize IVR and generative AI systems. Perform call testing, annotation, dashboard monitoring, and deliver data-driven insights and presentations to improve self-service, reduce agent handling, and enhance customer experience.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

The Programmer Analyst will monitor processes, execute quality checks on data, update documentation, and improve reporting for marketing analytics.

Collect, validate, and maintain market data across asset classes; perform statistical analysis and modeling; ensure data accuracy through QA; troubleshoot discrepancies; produce reports, dashboards, and recommendations; partner with stakeholders to improve data models and analytics practices.