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

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

As a Data Analyst, analyze data using SQL, Python, and Tableau to provide insights, support project management, and enhance customer experiences.

The Business Analyst will analyze business processes, particularly in healthcare claims systems, and gather requirements using Agile methodologies.

The Technical Business Analyst partners with leaders to design, analyze, and improve processes while translating business needs into functional requirements, facilitating communication between stakeholders and IT throughout the SDLC, and mentoring junior analysts.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

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.

The Growth Analyst supports capture efforts by producing decision-support artifacts from source documents, using Excel and AI tools for effective organization and analysis of information.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

Maintain and validate scientific product data across multiple systems, troubleshoot data/workflow issues, build SQL queries and Power BI reports, automate data processes, perform multilayered QA, and collaborate with cross-functional stakeholders to ensure data integrity and support product releases.

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.