Anthropic is seeking a Data Analyst to join their Recruiting Analytics team 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
- Experience 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
- Are comfortable working with messy or incomplete data
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
- Come up with creative solutions to displaying data (going beyond the traditional dashboard, leveraging AI etc.)
- Create and maintain interactive dashboards and visualizations that help communicate complex data insights to key stakeholders
- Model downstream tables for custom reporting and analytics.
Other
- Have 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.
- Possess excellent communication skills and can translate complex analytical findings into actionable business insights
- Are results-oriented with a bias towards flexibility and impact
- Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional teams
