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

As a Business Strategy Analyst, you will conduct market research, develop strategic plans, build financial models, and analyze data to support decision-making for manufacturing customers.

The Principal Credit Risk Analyst will lead credit risk strategy, monitor portfolio performance, collaborate on product growth, and engage in data-driven decision-making.

The Principal Product Analytics Engineer leads the design and architecture of Toast's product analytics ecosystem, ensuring reliable and scalable data for analysis across various platforms. This role involves creating data frameworks, implementing quality controls, and collaborating with cross-functional teams to support data-driven product development and AI insights.

Manage SoFi's enterprise TPRM platforms, optimizing workflows, delivering data analytics reports and dashboards, and enhancing risk intelligence for decision-making.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

As a Sr. Business Systems Analyst, you will enhance Salesforce and FinancialForce systems, manage business applications, and ensure SOX compliance while collaborating with cross-functional teams.

The Applied Research Engineer II will lead applied research initiatives, develop algorithms, and collaborate across teams to translate scientific insights into impactful products in human wellness.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

As a Solutions Architect, you will guide financial services customers in using GitLab's platform for software development, ensuring technical and regulatory compliance while building relationships and driving digital transformation.

Manage a team of Data Analysts to provide actionable insights and dashboards for operational departments, overseeing business intelligence projects and collaborating with other teams to enhance data models.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.