Top Remote Senior Level Data Analysis Jobs in CO

Design, develop, and maintain forecasting and optimization models for contact forecasting, headcount planning, staffing and budget. Partner cross-functionally to produce data-driven recommendations, present to leadership, and mentor forecasting analysts.

The Credit Bureau Business Analyst will manage bureau execution and analysis, support product onboarding and compliance controls, and drive data quality improvements through data analysis and cross-functional collaboration.

The Senior Healthcare Analyst will analyze healthcare data, provide insights to improve clinical programs, and collaborate with multidisciplinary teams to drive program effectiveness and optimize patient outcomes.

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

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.

The Staff Analyst will drive insights and strategies for Upstart's Personal Loans product, collaborating with multiple teams on data analysis and product optimization.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.

The Workforce Planning Partner is responsible for delivering data-driven workforce solutions, managing headcount processes, and building analytical tools for strategic workforce planning.

Lead product analytics, experimentation, and dashboarding to measure feature impact and improve retention. Design rigorous A/B tests (including pricing), build Looker/Hex dashboards, automate reporting, and partner with cross-functional teams to drive data-informed product decisions.