Job Information
Anthropic PBC Recruiting Data Engineering & Analytics in Seattle, Washington
Responsibilities
Data Infrastructure & Modeling
- 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
Data Analysis & Insights
- 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
Visualization & Communication
- 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
Cross-Functional Partnerships
- 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
You May Be a Good Fit If You
- Have 5+ years in data engineering or analytics engineering, preferably with experience in recruiting analytics, people analytics, or related fields
- Are an expert in BigQuery including optimization, partitioning, and performance tuning
- Have built dimensional models and understand slowly changing dimensions
- Are proficient in SQL, Python, and modern tools like dbt and Fivetran
- Have experience with data visualization tools (Tableau, Looker, Looker Studio, Power BI)
- Have implemented data security and privacy controls in cloud warehouses
- Are comfortable working with messy or incomplete data
- Possess excellent communication skills and can translate complex analytical findings into actionable business insights
- Are 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
- Are 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
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