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

The Data and Visual News Associate develops multimedia and data-driven journalism during a two-year newsroom rotation. Responsibilities include investigative reporting using OSINT, geolocation, satellite imagery and metadata; producing interactives, maps, charts and visual stories; analyzing audience data; experimenting with AI-powered reporting workflows; and collaborating with graphics, data and innovation teams. The role requires a technical portfolio, data analysis and visualization skills, digital evidence verification experience, and proficiency with Adobe Illustrator, HTML and CSS.

Design and operationalize governed enterprise data platforms, data products, data contracts, lakehouse systems, and streaming pipelines. Establish authoritative data sources across CRM, MDM, and ERP systems, lead CX transformation architecture, deliver production data models and pipelines, advise enterprise customers on modern data architectures, and productize validated internal and field innovations into scalable customer offerings.

Build and scale governance-as-code across enterprise data systems, automating policy enforcement, sensitivity classification, access controls, data contracts, and compliance verification. Partner with architecture, security, privacy, legal, and engineering teams to protect data integrity and support AI adoption. Apply internal governance practices to customer advisory engagements, including maturity assessments, executive workshops, and guidance on AI-era data risk.

Build and maintain recurring sales and partner performance reporting, dashboards, scorecards, and forecast analyses. Identify trends, variances, risks, opportunities, and data-quality issues across pipeline, bookings, territories, accounts, and partner activity. Document KPI logic, assumptions, and data lineage while translating business requirements into reliable analytical products. Provide fact-based insights, scenario modeling, executive exhibits, and decision support without owning business commitments or cross-functional program accountability.

Part-time Database Administrator responsible for maintaining client CRM data, manipulating datasets, processing receipts, building Excel reports, analyzing information, visualizing findings, and establishing KPIs. The role requires advanced Excel skills, strong attention to detail, independent problem-solving, and familiarity with nonprofit CRM systems. The position requires at least 10–15 hours weekly and is performed as a contractor.

Performs remote data entry and administrative support by entering, updating, verifying, and organizing information in digital databases and electronic records. Maintains spreadsheets, reviews documents for accuracy, identifies discrepancies, protects confidential information, responds to update requests, and completes assigned projects on schedule while communicating progress to supervisors.

Reviews and prepares scientific datasets, metadata, documentation, and supplemental files for public archival publication through the Forest Service Research Data Archive. The role validates data quality, formats, accessibility, and compliance with metadata standards across tabular, geospatial, multimedia, database, and document formats. It also supports and trains researchers, coordinates delivery timelines, and assists with project collaboration.

Analyze and maintain manufacturing product data, engineering bills of materials, and product records across PDM systems and Microsoft Dynamics 365. Identify discrepancies in part numbers, attributes, classifications, and BOM relationships; support data standardization, reconciliation, documentation, and corrective updates. Collaborate with engineering and manufacturing stakeholders to resolve data issues and ensure accurate ERP product information.

Owns specialty pharmacy data-partner specification negotiations, data mapping, Ascend platform configuration, internal QA, defect resolution, and UAT readiness across multiple implementations. The role evaluates standard versus custom data requirements, coordinates with delivery, engagement, product, and engineering teams, maintains data dictionaries and implementation documentation, supports schema normalization, and develops repeatable testing and onboarding processes. It is primarily remote with occasional travel.

Leads the migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse. Defines technical architecture, reusable Azure Data Factory and Databricks pipelines, reconciliation methods, quality gates, and performance solutions. Mentors data engineers, reviews technical work, and collaborates with product, QA, platform, and customers in a remote Agile environment.

Delivers daily, weekly, and month-end customer reporting while maintaining solution components, validating data, and resolving reporting issues. Analyzes complex datasets, supports customer implementations, and improves reporting efficiency using Excel, Access, SQL, and the Infios FAP Portal. Collaborates with Operations, Product, Implementations, Commercial teams, and customers to provide accurate, data-driven outputs and document scalable processes.