Analytics Lead, Total Rewards

Crusoe•Denver, CO

12d•$120,000 - $150,000

About The Position

Crusoe is seeking an analytically sharp, technically creative Analytics Lead, Total Rewards to join their Total Rewards team. This role is positioned at the intersection of people data, financial modeling, and systems intelligence. The ideal candidate will be adept at transforming complex and sensitive datasets into clear insights and scalable tools. While prior experience in Compensation or Benefits is not mandatory, a strong aptitude for modeling, a natural inclination towards systems thinking, and enthusiasm for developing more efficient data management processes are highly valued.

Requirements

3–7 years of experience in a data, analytics, financial modeling, or systems-focused role.
Advanced proficiency in Excel/Google Sheets — you can build complex models from scratch without hand-holding.
Experience building dashboards and visualizations in tools like Tableau, Power BI, Looker, or similar.
Demonstrated ability to work with large, sensitive datasets with accuracy and discretion.
Strong analytical instincts — you can spot what the data is really saying, not just what was asked.

Nice To Haves

Total Rewards experience a plus, not a requirement.
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.

Responsibilities

Become a deep subject matter expert in reporting across our HCM, compensation, and benefits platforms (e.g., Workday, Radford/WTW, market pricing tools, benefits administration systems).
Own the design, development, and maintenance of dashboards and recurring reports that surface Total Rewards data for HR, Finance, and business partners.
Partner with HR Systems and IT to improve data quality, integrations, and reporting infrastructure.
Build and maintain financial models to support compensation planning cycles, benefits cost analysis, merit and equity budgeting, and headcount forecasting.
Conduct benchmarking analyses using survey data and internal pay data to support compensation reviews and program design decisions.
Handle and safeguard sensitive employee data with the highest degree of discretion and compliance.
Proactively identify manual, repetitive workflows and build automated solutions to replace them.
Develop or contribute to AI-enabled tools that improve team efficiency — whether that's prompt-based workflows, LLM-assisted data parsing, or intelligent reporting triggers.
Bring a creative, builder mindset to tooling: if a better process doesn't exist, you design it.
Translate complex data into clear narratives and recommendations for non-technical stakeholders.
Support ad hoc analytical requests from Total Rewards, HR leadership, and Finance.
Document methodologies, data dictionaries, and model logic to ensure reproducibility and knowledge sharing.