Workforce & Finance Data Analyst

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As a Workforce & Financial Data Analyst within the Workforce Planning & People Operations team, you will serve as a key analytical engine connecting raw workforce data with executive decision-making. You will partner cross-functionally across business units to build dynamic reporting models, execute compensation benchmarking, analyze P&L budget vs. expense variances, and establish new data visualization dashboards.

This role operates in a flat, multicultural, and highly collaborative environment where asking questions, continuous learning, and direct communication ("talk straight") are celebrated. You will work closely with leadership and cross-functional partners while enjoying the flexibility of remote work.

• Workforce & Financial Data Modeling: Design, build, and maintain complex spreadsheet models (Google Sheets / Excel) using nested functions, custom formulas, QUERY, and pivot tables to evaluate workforce metrics.

• Compensation & Rewards Analytics: Perform internal equity analysis, market compensation benchmarking, and support talent/rewards adjustments and promotion cycles.

• P&L Budget vs. Expense Tracking: Analyze operational expenditure and budget variances across business units to provide actionable variance insights to leadership.

• Dashboarding & Business Reporting: Create, automate, and refine cross-functional dashboards to give leaders visibility into workforce capacity, performance, and contribution trends.

• Executive Communication: Translate complex technical, statistical, and financial datasets into clear, executive-ready presentations and briefings for non-technical stakeholders.

• Cross-Functional Collaboration: Partner directly with People Operations, Finance, and Business Unit leaders on strategic initiatives, new data projects, and process improvements.

• Experience: 3–5+ years of experience in data analysis, workforce planning, financial analysis (FP&A), or compensation analytics.

• Advanced Spreadsheet Mastery: High proficiency with Google Sheets / Excel, including advanced custom and complex formulas, QUERY, pivot tables, and nested logic.

• Database & Data Extraction: Practical working knowledge of SQL to query, extract, and manipulate large datasets.

• Compensation & Financial Acumen: Hands-on experience with market benchmarking, internal pay equity analysis, and P&L budget vs. expense evaluation.

• Executive Presentation: Exceptional capability to synthesize technical data into clear visual stories and narrative briefings for senior executives.

• Language Proficiency: Professional English proficiency (B2+ or higher) with strong verbal and written communication skills.

• Mindset & Behaviors:

  • High attention to detail with an inherent habit of rigorous self-auditing.

  • Adaptability and comfort with context switching in a dynamic, evolving environment.

  • Receptive to feedback, open-minded, and motivated to learn and grow alongside the team.