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.

Provides remote administrative support for home care operations by managing correspondence, scheduling appointments and staff activities, preparing documents and spreadsheets, updating records, entering data, assisting clients and staff, tracking deadlines, and protecting confidential information. Requires strong organization, communication, computer, and recordkeeping skills, with familiarity in Microsoft Office or Google Workspace. Paid training and opportunities for advancement are provided.

Entry-level Data Analyst supporting Performance & Analytics for care operations. Build, validate, and QA recurring reports and dashboards (Retool/BI tools), pull and clean payer, clinical, and operational data, investigate discrepancies, maintain workflows and reporting-ready datasets, and support ad-hoc analytical priorities.

Collects, consolidates, cleans, analyzes, and visualizes experimental data from analytical equipment, test rigs, and pilot plants. Performs statistical analysis, anomaly detection, experimental design support, equipment validation, and QA/QC activities. Presents findings to technical leadership, identifies process improvements, and helps extract actionable insights from structured and spectral data.

Develop and support healthcare IT data strategies, governance frameworks, analytics roadmaps, data quality initiatives, metadata management, and enterprise data integration. Coordinate data migration, legacy clinical data integration, and clinical viewer transition efforts. Collaborate with stakeholders on analytics requirements, support dashboards and reporting, advise leadership on performance metrics, and ensure compliance with privacy, security, and governance requirements.

Entry-level data engineering development program involving three rotations, cloud-native data platforms, batch and real-time pipelines, distributed systems, ETL/ELT, data modeling, AI platforms, and enterprise data products. Participants use AWS, Spark, Java, Python, SQL, Snowflake, Kafka, and related technologies while gaining experience with LLM architectures, APIs, microservices, and secure production deployments.

Conduct quality assurance evaluations, root-cause and data analysis, and progress reporting. Serve as an escalation contact and subject matter expert for quality processes, while supporting problem prevention and continuous improvement projects. The role requires strong communication, analytical, organizational, presentation, and decision-making skills, along with English and Mandarin proficiency and fintech experience.

Contractor role with no specific responsibilities or qualifications provided. The position is associated with SitusAMC’s real estate-focused organization and may involve data and reporting activities.

Supports data engineering, ETL, database, platform, and integration workstreams. Responsibilities include data extraction, pipeline testing, environment setup, database support, source-system profiling, data cleansing, Ed-Fi ODS loading, validation, Oracle and SQL Server migration support, SharePoint configuration, year-end rollover tasks, and technical documentation under senior staff guidance.

Leads R&D data stewardship across metadata, cataloging, data products, profiling, quality, governance, and compliance. Uses Informatica, SQL, Databricks, Python, and PySpark to curate data, automate workflows, define quality controls, and resolve complex issues. Applies AI-assisted stewardship and semantic data concepts while collaborating with technical and business stakeholders. Coaches other stewards, supports audit readiness, and improves stewardship standards and operating practices.