Senior Data and Reporting Analyst, Total Rewards

Crusoe•Seattle, WA

5d•$106,000 - $129,000

About The Position

We're looking for an analytically sharp, technically creative Senior Data & Reporting Systems Analyst 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.

Requirements

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

Nice To Haves

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