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.

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.

This position involves supporting client-based data analytics and engineering projects, utilizing SQL, Python, or R, and presenting findings clearly.

The Solutions Analyst delivers reporting and operational outputs, analyzes datasets, resolves issues, maintains solution components, and collaborates with teams to improve efficiency.

Perform geospatial data processing, QA/QC, analysis, digitizing and georeferencing; create maps and web cartography; translate customer requirements into workflows; document processes and support project data management.

Maintain and improve master data for products, vendors, and customers across NetSuite and Salesforce. Ensure data quality and consistency, process tickets, collaborate with cross-functional teams, suggest process improvements, and support business reporting and operations while adhering to data standards.

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.

Responsible for ensuring data quality through governance, cataloging, and profiling. Familiarity with metadata management and data integration is beneficial.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.