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

Analyze large behavioral and transaction datasets, build reports and dashboards, collaborate with product and engineering to inform data-driven product decisions, automate analyses, communicate insights to stakeholders, and brainstorm new data uses to improve user experience.

Designs, develops, and maintains data pipelines, workflows, integrations, transformations, and data warehouses. Provides architecture guidance, troubleshoots more than 100 pipelines, supports stakeholders, creates reports, documents processes, participates in code reviews, mentors junior engineers, and translates business requirements into technical solutions while maintaining healthcare data privacy and security compliance.

Denver Public Schools overview describing its mission to provide rigorous educational opportunities to students across nearly 200 schools serving more than 90,000 students. The provided description does not include specific responsibilities, qualifications, technologies, compensation, or work conditions for the Data Engineer role.

Own trade performance reporting, dashboards, scorecards, promotional ROI analysis, range review support, category insights, and sales projections for major retail customers. The role turns sales and shopper data into commercial recommendations, supports retailer presentations and new product launches, and collaborates with Sales, Marketing, Supply Chain, Demand Planning, and Finance. It requires strong Excel and presentation skills, commercial curiosity, attention to detail, clear communication, and the ability to manage multiple priorities.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Leads client-side support for business intelligence applications, resolving Informatica ETL and MicroStrategy reporting issues. Manages problem management fixes, enhancements, and production troubleshooting while guiding an offshore support team. Requires strong analytical, communication, and client-interaction skills.

Design, build, and deploy scalable data pipelines and schemas to ingest and normalize disparate, multi-classification data for high-fidelity simulations. Integrate APIs, manage databases and data warehouses, and maintain ETL/ELT processes to support modeling, simulation, and data science teams in mission-critical space operations.

Maintain mine-action information management systems, databases, data flows, and quality-control processes. Produce GIS maps, web maps, visualizations, analyses, and prioritization tools using ArcGIS and related platforms. Support mobile data collection, SQL reporting, UNMAS data transfers, staff training, and sector technical working groups. The role supervises data-collection staff and requires English and Arabic proficiency, with rotational deployment in Gaza and regional travel.