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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in compensation analysis and equity strategy, with a strong focus on modeling global compensation programs and utilizing advanced tools for data analysis. Proficient in driving change management initiatives and facilitating training for cross-functional teams.
Highest-signal resume keywords
Compensation AnalysisEquity StrategyWorkday CompensationData Analysis with LLM ToolsStatistical Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Compensation ModelingEquity Framework DesignData TransformationStatistical AnalysisExcel ProficiencyGoogle Suite ProficiencyBigQueryVBA/MacrosComplex FormulasChange Management
Soft Skills
Cross-Functional CollaborationTraining FacilitationCommunication
Tools & Technologies
WorkdayCartaClaudeChatGPTMicrosoft CopilotBI Tools
Certifications & Qualifications
CCP (Certified Compensation Professional)
Industry Keywords
Total Rewards InitiativesMarket PricingGeographic DifferentialsMerit Budget AllocationExecutive CompensationHRIS IntegrationGrant Administration
Tech Stack
Tools & technologiesBigQueryVBA
About the role
Key responsibilities & impact- Build and maintain complex models for salary bands, market pricing, geographic differentials, and merit/promotion budget allocation
- Use enterprise AI platforms such as Claude and ChatGPT to analyze workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate data transformation workflows
- Model executive total compensation, short-term incentive performance metrics, and long-term incentive grant strategies
- Design and model global equity frameworks, including refresh plans, grant guidelines, vesting schedules, and budget allocations
- Establish workflows for equity grant approvals, board consent materials, vest schedules, and reconciliation between equity systems and the HRIS
- Use Carta and internal analytics tools to model wealth creation scenarios and executive equity usage
- Co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts
- Ensure data flows between Workday, payroll systems, survey platforms, and analytical databases
- Design, build, and audit Workday custom reports, matrix reports, and calculated fields
- Use BigQuery to query, analyze, and transform large-scale datasets
- Drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts
- Develop manager guidebooks, FAQ documents, slide decks, and video walkthroughs
- Design and facilitate training for managers, Talent Acquisition, HR Business Partners, and employees
Requirements
What you’ll need- 6+ years of progressive experience in compensation analysis, equity strategy, or People Analytics, with demonstrable mastery at a senior/principal individual contributor level
- Proven track record designing and modeling global compensation and equity programs in partnership with Finance in a fast-paced or scaling technology environment
- Demonstrated experience with change management and driving enablement programs, including producing training collateral and leading educational workshops for cross-functional teams
- Hands-on experience working directly with Workday Core Compensation and Advanced Compensation modules is required
- Advanced proficiency in Excel and Google Suite, including VBA/macros, dynamic arrays, and complex formulas, is required
- Strong familiarity with Carta for cap table analytics, grant administration alignment, and LTI modeling is strongly preferred
- Experience applying LLM tools such as Claude, ChatGPT, or Microsoft Copilot to data analysis, code generation, or report generation is strongly preferred
- Experience with BI and BigQuery tools for data modeling is a strong plus
- Exceptional ability to build cross-functional partnerships across Finance, Legal, Stock Administration, and Systems Engineering
- Deep familiarity with statistical techniques such as regression analysis and distribution metrics applied to compensation and equity datasets
- Solid understanding of core compensation and equity design concepts
- Bachelor’s or Master’s degree in Data Analytics, Finance, Human Resources, or a related field is preferred
- CCP (Certified Compensation Professional) is a plus
Benefits
Comp & perks- 100% employer-paid medical insurance (may vary by country and worker type)
- Generous paid time-off policy (PTO)
- Paid sick time
- Inclusive parental leave policy
- Holidays, including a year end Global Week of Rest
- Volunteer days off
- RSU stock grants (may vary by country and worker type)
- Professional development and training opportunities
- Company virtual happy hours
- Free food
- Fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform offering therapy, coaching, and self-guided mindfulness exercises for covered employees and their covered dependents