C
Posted 14 hours ago
Analytics Lead, Total Rewards
CrusoeAnalytics Lead, Total Rewards
Perks & benefits
Education AllowanceHealth InsuranceHousing AllowanceMobile AllowancePaid Leave
Requirements
3-7 years data/analytics experience, Advanced Excel/Google Sheets, Dashboarding experience (Tableau/Power BI), Experience with sensitive datasets
Skills
ExcelTableauPython
About the role
Responsibilities
- Become a subject matter expert in reporting across HCM, compensation, and benefits platforms
- Own the design, development, and maintenance of dashboards and recurring reports for HR and Finance
- Build and maintain financial models for compensation planning, benefits cost analysis, and headcount forecasting
- Conduct benchmarking analyses using survey data and internal pay data
- Identify manual workflows and build automated or AI-enabled solutions to improve efficiency
- Translate complex data into clear narratives for non-technical stakeholders
Requirements
- 3–7 years of experience in data, analytics, financial modeling, or systems-focused roles
- Advanced proficiency in Excel and Google Sheets for complex modeling
- Experience building dashboards in Tableau, Power BI, Looker, or similar tools
- Demonstrated ability to work with large, sensitive datasets with accuracy and discretion
- Strong analytical instincts and problem-solving skills
Preferred Qualifications
- Experience with HCM platforms, specifically Workday
- Hands-on experience building AI-enabled tools using APIs, LLMs, or low-code platforms
- Proficiency in Python, SQL, or R for data manipulation
- Familiarity with compensation survey tools like Radford, WTW, or Mercer
Benefits
- Competitive compensation and equity packages (RSUs)
- Comprehensive health, dental, and vision insurance
- 401(k) retirement plan with up to 4% company match
- Paid parental leave and volunteer time off
- Professional development and tuition reimbursement
- Daily meals allowance and cell phone stipend
About the Company
Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power the world's most ambitious AI workloads through an energy-first approach.
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Crusoe · Denver
