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.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

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.

Supports business application analysis, requirements gathering, process mapping, automation opportunities, documentation, testing, and user acceptance. The analyst translates business needs into functional specifications, user stories, process flows, data models, test cases, and acceptance criteria. Responsibilities also include SQL-based data validation and troubleshooting, application support, issue tracking, stakeholder communication, and collaboration with developers and QA teams.

Supports data cleansing, quality checks, reporting, dashboards, data-source and metadata maintenance, data integrity, and normalization. Translates reporting requirements and analytical results for nontechnical audiences, handles sensitive information securely, and assists end users with reports and dashboards. Works under senior analyst guidance in a federal environment and must be able to obtain and maintain a Public Trust clearance.

Maintains and verifies client and matter data across business intake and conflicts systems. Processes engagement, waiver, closure, and name-change requests; links parties; maintains ethical walls, database alerts, and administrative files; performs data cleanup and reporting projects; supports technology testing; and communicates intake and risk-management procedures to attorneys, staff, and external parties.

The role involves producing valuation analyses for clients, maintaining valuation models and data sets, and managing projects independently. Strong Excel skills and a basic understanding of financial topics are necessary.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Perform economic damages analysis for litigation matters (wrongful termination, discrimination, wage/hour, personal injury, wrongful death). Clean, structure, and analyze data; build damages models and visualizations in Excel; manage and review case documents; research public data sources; support report and exhibit preparation; and ensure accuracy, reproducibility, and documentation of all deliverables.

Support building and maintaining ETL/ELT data pipelines and cloud data workflows. Work with senior engineers and cross-functional teams to implement, test, deploy, and document data processes. Continuously learn cloud technologies, SQL, and Python/PySpark, follow coding best practices, and contribute to process improvements in an Agile environment.