Top Remote Senior Level Data & Analytics Jobs in CO

The Sr. Incentives & Strategy Analyst will optimize and evaluate incentive programs, derive insights from data, and collaborate with cross-functional teams to support revenue strategies.

Lead the analytics engineering team, build data models, ensure data quality, leverage AI for analytics, and empower product teams with insights.

The Senior Analyst of Technology Risk will implement and mature the risk management program, analyze risks, manage the lifecycle of risks, and communicate findings to leadership. Responsibilities include maintaining risk registers, executing assessments, and collaborating across teams to scale risk frameworks.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead a team of analysts, manage analytics product development, ensure data quality, build self-serve dashboards, and partner with cross-functional teams.

The Sr. Competitive Intelligence Analyst supports cloud security product strategies through market analysis and competitive insights, partnering with various teams to enhance winning strategies.

The Senior Data Analyst will develop metrics frameworks, optimize reporting pipelines, and provide actionable insights through data analysis using SQL and Tableau.

As a Senior Analyst, you'll gather and analyze requirements, implement process improvements, manage financial reporting in Workday, and mentor junior analysts.

Lead the architecture and implementation of Salesforce Data 360 solutions focusing on healthcare, ensuring compliance, and guiding teams through complex projects.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.