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

The Programmer Analyst will monitor processes, execute quality checks on data, update documentation, and improve reporting for marketing analytics.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

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.

The Neuroimaging Engineer will analyze MRI data, develop software for algorithms, and assist in managing neuroimaging databases and quality assurance.

Entry-level data analyst supporting advertising insights and custom analytics engagements. Pulls and cleans competitive ad spend and creative data, runs share-of-spend and creative-surfacing workflows, builds early hypotheses, performs QA, and supports multiple accounts while learning internal tools and methodologies to grow into a client-facing analyst role.

The Reports Analyst role involves gathering, cleaning, and analyzing data, while training staff and providing insights to support business strategies.

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.

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.

Work on data visualization and data management within the Data Analytics & Insights team. Build interactive displays and tools using JavaScript and Python, translate complex data into clear visuals, ensure data accuracy, support data storage solutions and processes, perform quality checks, and collaborate with cross-functional teams and environmental scientists.

Remote entry-level Big Data Engineer role building data acquisition and munging pipelines. Requires strong Python3 (NumPy, Pandas), advanced SQL, scalable algorithm and data-structure implementation on distributed clusters, converting code to functional paradigms, and the ability to learn PySpark or Kafka quickly. Product-development, startup experience and real-world pipeline projects preferred.