Top Remote Data & Analytics Jobs in Denver & Boulder, CO

As a Healthcare Analyst II, you will analyze healthcare data to optimize strategies, conduct quantitative analysis, and provide insights for clinical interventions, partnering with cross-functional teams.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

As a Senior Associate, you'll lead the development of Salesforce Marketing Cloud solutions, mentor junior members, analyze complex problems, and build strong client relationships while ensuring high-quality standards.

As Director of Product Analytics, you'll lead a team to define strategies that optimize the online casino experience, influence product innovation, and deliver insights to drive engagement and growth.

As a Senior Data Analyst at Bestow, you will automate data transformation pipelines, create data visualizations, ensure data quality, and collaborate with teams to drive insights in the insurance domain.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

Lead teams to deliver analytics solutions for clients, manage client data measurement, build automated systems, and drive organizational efficiency.