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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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