Crusoe

Crusoe

Analytics Lead, Total Rewards

Denver, CO - US

Sponsorship not specified$120k-$150kDetected 11 days ago
PythonData StructuresSQLData VisualizationLLMsFinancial ModelingForecastingBudgetingExcelHRISCompensationLeadershipCollaborationProblem Solving

About the role

  • This role sits at the intersection of people data, financial modeling, and systems intelligence - and is a great fit for someone who loves turning complex, sensitive datasets into clear insights and scalable tools.
  • Translate complex data into clear narratives and recommendations for non-technical stakeholders

Responsibilities

  • Document methodologies, data dictionaries, and model logic to ensure reproducibility and knowledge sharing
  • Partner with HR Systems and IT to improve data quality, integrations, and reporting infrastructure
  • Conduct benchmarking analyses using survey data and internal pay data to support compensation reviews and program design decisions
  • Proactively identify manual, repetitive workflows and build automated solutions to replace them
  • Bring a creative, builder mindset to tooling: if a better process doesn't exist, you design it

Requirements

  • Handle and safeguard sensitive employee data with the highest degree of discretion and compliance
  • Advanced proficiency in Excel/Google Sheets - you can build complex models from scratch without hand-holding
  • Demonstrated ability to work with large, sensitive datasets with accuracy and discretion

Skills

  • Crusoe is on a mission to accelerate the abundance of energy and intelligence.
  • The demand for AI compute is boundless, and power is a bottleneck.

Compensation

  • Compensation will be paid in the range of up to $120,000 - $150,000 + Bonus.
  • Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary

Company info

  • 3-7 years of experience in a data, analytics, financial modeling, or systems-focused role (Total Rewards experience a plus, not a requirement)
  • Experience building dashboards and visualizations in tools like Tableau, Power BI, Looker, or similar
  • Strong analytical instincts - you can spot what the data is really saying, not just what was asked
  • You'll be working with some of the most sensitive and strategically important data in the company
  • You'll have real creative latitude to build new tools and processes - not just maintain existing ones
  • You'll partner closely with senior Total Rewards leaders and have visibility into compensation and benefits strategy
  • This is a role where strong technical work directly translates to business impact
  • Experience with HCM platforms (Workday strongly preferred) and their reporting/analytics layers
  • Hands-on experience building AI-enabled tools or workflows - whether using APIs, LLMs, low-code platforms, or custom scripts
  • Proficiency in Python, SQL, or R for data manipulation and automation
  • Familiarity with compensation or benefits data structures, even if not in a dedicated Comp/Benefits role
  • Experience with compensation survey tools (Radford, WTW, Mercer, etc.) a plus

Equal opportunity

  • Crusoe is an Equal Opportunity Employer.

Visa & Work Authorization

  • Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran st

This listing is sourced directly from Crusoe's careers page and normalized into a canonical job model.