Compensation Analyst
Shield AI
What you'll do:
- Compensation Analytics & Insights
- Conduct recurring and ad hoc market benchmarking using data from sources such as Radford and Option Impact.
- Maintain salary structures, job architecture data, and compensation frameworks to support equitable and competitive pay practices.
- Build and refine Excel-based models for headcount planning, compensation budgeting, and forecasting.
- Program Management
- Play a key role in the annual compensation cycle (merit, bonus, equity), including project managing timelines, preparing datasets, and executing data loads into HRIS and equity platforms.
- Support day-to-day stock plan administration by collaborating with PX Ops, Finance, and external vendors to ensure accurate equity data and grant processing.
- Process Design & Efficiency
- Partner with PX Operations and HRIS to maintain high data integrity across UKG and Carta.
- Identify and implement process improvements or automation opportunities to reduce manual work and increase accuracy.
- Build scalable compensation tools and documentation to support PXBPs, recruiters, and business leaders.
- Stakeholder Enablement & Education
- Create resources and communication materials to increase understanding and trust in Shield AI’s compensation programs.
- Support manager and PXBP enablement around topics like compensation philosophy, pay equity, and total rewards education.
- Special Projects & Ad Hoc Analysis
- Take ownership of compensation-related projects, such as internal equity reviews, geographic pay differentials, leveling frameworks, or compensation data reviews during M&A events.
- Conduct one-off analyses (e.g., 401(k) data audits, EEO pay reporting, or finance reconciliation support) to support compliance and business decision-making.
Required qualifications:
- 3–5 years of compensation or Total Rewards experience, ideally in a fast-paced, high-growth environment
- Bachelor’s degree in Finance, Mathematics, Economics, Business, HR or equivalent work experience
- Understanding of Compensation foundations
- Advanced Excel skills (pivot tables, VLOOKUP/XLOOKUP, INDEX/MATCH, nested logic formulas, etc.).
- Familiarity with compensation survey platforms (Radford, Pave, etc.), HRIS (UKG preferred), and equity management tools (Carta preferred).
- Strong analytical and problem-solving skills with attention to detail.
Preferred qualifications:
- Self-starter with a growth mindset and eagerness to learn; able to operate independently and prioritize in a dynamic environment.
- Clear and thoughtful communicator who collaborates well across teams.
- Experience working with large sets of structured and unstructured data to draw trends and insights, use data visualization to present complex matters in an easy manner