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Data Analyst, Recruiting Analytics

ExecutivePlacements.com

Salary not specified
Nov 1, 2025
San Francisco, CA, United States of America
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Anthropic is seeking a Data Analyst to transform data into actionable insights that drive strategic decision-making across their rapidly growing organization, optimizing people practices as they scale their mission-critical work in AI safety.

Requirements

  • Proficient in SQL and experienced with data visualization tools (e.g., Tableau, Looker, Looker Studio, Power BI)
  • Have strong statistical analysis skills and experience with programming languages such as Python or R
  • Have experience working with HRIS systems and people data
  • Experience with A/B testing and experimental design
  • Familiarity with data privacy regulations and ethical considerations in people analytics
  • Experience with cloud-based data platforms (AWS, GCP) and modern data stack tools
  • Come up with creative solutions to displaying data (going beyond the traditional dashboard, leveraging AI etc.)

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and opportunities across the employee lifecycle
  • Conduct rigorous statistical analysis to support evidence-based decision-making for talent management initiatives
  • Perform root cause analysis on people-related metrics to understand underlying drivers of organizational outcomes
  • Design and execute research projects that advance our understanding of what drives employee success and satisfaction
  • Create and maintain interactive dashboards and visualizations that help communicate complex data insights to key stakeholders
  • Model downstream tables for custom reporting and analytics.
  • Develop and maintain automated reporting solutions that scale with organizational growth

Other

  • 3-5 years of experience in data analysis, preferably with recruiting analytics, people analytics, or related fields
  • Have additional experience in people operations or recruiting.
  • Are comfortable working with messy or incomplete data
  • Possess excellent communication skills and can translate complex analytical findings into actionable business insights
  • Are results-oriented with a bias towards flexibility and impact