Senior Data and Reporting Analyst, Total Rewards

Reporting & Systems Expertise

• 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

Financial & Compensation Modeling

• 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

Automation & AI-Enabled Tooling

• 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

Collaboration & Insight

• 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

What You'll Bring to the Team

• 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

Bonus Points

• 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

Compensation Range

Compensation will be paid in the range of up to $106,000 - $129,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.