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

Entry-level Business Intelligence Analyst supporting the Mission and Process Analytics team. Learn MPA project lifecycle, assist with data integration, reporting, and low-impact ITS ticket resolution. Work on small tasks within larger projects under mentor supervision, contribute to reports and dashboards, participate in peer reviews, and support minor project milestones. Requires on-site presence multiple days weekly.

General application to Cardamom's talent pipeline for roles across Epic analytics, data & analytics, project/product management, and internal functions. Candidates can submit for Epic analyst, data engineering, data science, interoperability, BI, software development, and entry-level roles (Madison local). Talent team reviews submissions and contacts matches for current or upcoming openings.

Analyze marketing and customer data to identify trends and optimization opportunities. Build scalable lead ingestion solutions, write SQL and Python for ETL and analysis, maintain curated datasets and dashboards, automate reporting, and collaborate with marketing, analytics, data science, and engineering teams while documenting data definitions and methodologies.

Support HRIS implementation by extracting, cleansing, validating, and preparing employee data for migration. Reconcile reports, fix duplicates and missing data, create Excel transformation files, maintain data quality, document work, and assist with testing and post-go-live support.

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.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Perform end-to-end data analysis and translate business requirements into scalable data products, reports, dashboards, and data pipelines. Design data models, document architectures (ERDs, dimensional models), support ETL/ELT, data quality, governance, lineage, and enable client adoption of modern analytics and AI-driven solutions through collaboration, training, and troubleshooting.

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.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

The Data Entry Specialist manages invoices and payments, ensuring accurate data processing and maintaining records while supporting basic administrative tasks.