Top Remote Senior Level Data & Analytics Jobs in CO

Lead design and build of a cloud-based data platform for simulation outputs: architect AWS data warehouse and ingestion, transform high-volume telemetry into trusted datasets, establish schemas/data contracts, enable replay/comparison, support analytics/AI, and hire and mentor a data engineering team.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Senior Product Analyst at Toast collaborates with various teams to analyze data, develop measurement frameworks, and enhance product development through insights, dashboards, and reporting tools.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

Lead a Planning & Analytics team for Midwest retail accounts (Target, Best Buy, Kohl's), deliver insights from POS and syndicated data, pressure-test forecasts, build dashboards, drive promotional and pricing analysis, collaborate with cross-functional teams, and present recommendations to senior leadership to grow market share.

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

The Senior Geospatial Analyst will perform GEOINT analysis, manage geospatial data systems, and create multimedia presentations while collaborating with industry professionals.

Lead Engineer for Business Systems focusing on Salesforce, overseeing technical strategies, system enhancements, and cross-team collaboration to optimize workflows and support system governance.

The Senior Business Planning Analyst will design dashboards, develop performance scorecards, analyze data, and provide insights to improve operational performance in clinical settings.

Analyze user behavior data to identify friction points, recommend changes for conversion optimization, and collaborate with teams to improve user flows through data-driven insights.