Anthropic · 1 day ago
Recruiting Data Engineering & Analytics
San Francisco, CA | Seattle, WA
Full-time
Onsite
Senior Level
$146K/yr - $185K/yr
5+ years expAnthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. The Recruiting Data Engineering & Analytics role involves building technical foundations for insights into hiring and workforce planning, while designing scalable data architectures and optimizing analytics infrastructure.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports traditional BI tools (like Looker) and enables AI-driven insights across the company
Design scalable data architectures and build dimensional models that transform raw recruiting data into trusted, reusable datasets for self-serve analytics while maintaining performance
Model downstream tables for custom reporting and analytics
Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems
Develop and maintain automated reporting solutions that scale with organizational growth
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
Come up with creative solutions to displaying data—whether that's a polished Looker dashboard, a quick Google Sheets prototype, or leveraging AI for novel approaches
Translate complex data analyses into clear, compelling narratives for both technical and non-technical audiences
Convert insights into actionable recommendations and drive implementation of solutions
Collaborate with company leaders to identify, track, and iterate key performance indicators (KPIs) for talent management
Partner with stakeholders to define and scope people analytics projects that align with organizational goals
Work directly with recruiting leaders, hiring managers, and executives to understand business challenges and translate them into technical solutions
Advise on best practices for integrating and analyzing data from various HR systems and external sources
Take ownership of diverse responsibilities from research projects to operational process implementation, root cause analysis, and program management
Qualification
Required
5+ years in data engineering or analytics engineering, preferably with experience in recruiting analytics, people analytics, or related fields
Expert in BigQuery including optimization, partitioning, and performance tuning
Built dimensional models and understand slowly changing dimensions
Proficient in SQL, Python, and modern tools like dbt and Fivetran
Experience with data visualization tools (Tableau, Looker, Looker Studio, Power BI)
Implemented data security and privacy controls in cloud warehouses
Comfortable working with messy or incomplete data
Excellent communication skills and can translate complex analytical findings into actionable business insights
Creative and scrappy—you know when to build a robust data pipeline and when a Google Sheet with some clever formulas will get the job done faster
Results-oriented with a bias towards flexibility and impact over perfection
Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional teams
Care about ensuring that advanced AI systems are developed safely and are passionate about our mission
Bachelor's degree in a related field or equivalent experience
Preferred
Advanced degree in Statistics, Data Science, Computer Science, or related quantitative field
Familiarity with ATS platforms (Greenhouse, Lever) and their data structures
Experience building data pipelines for survey data and text analytics
Background in privacy-enhancing technologies or sensitive data handling
Experience with A/B testing and experimental design
Previous experience in high-growth technology companies, startups, or AI/ML organizations
Familiarity with data privacy regulations and ethical considerations in people analytics
Familiarity with workforce planning and predictive analytics use cases
Benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
Co-Founder and CEO
Daniela Amodei
President and co-founder
Recent News
Straits Times
2026-01-23
2026-01-23
Company data provided by crunchbase