Analytics Lead, Crusoe Energy Systems

• 3–7 years of experience in a data, analytics, financial modeling, or systems-focused role (Total Rewards experience a plus, not a requirement)
• 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
• 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

Desirable

• We're looking for an analytically sharp, technically creative Analytics Lead, Total Rewards to join our Total Rewards team
• 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
• You don't need to come from a Compensation or Benefits background
• What matters most is that you're a strong modeler, a natural systems thinker, and someone who gets excited about building smarter, more automated ways to work with data
• 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