Recruiting Data Engineering & Analytics

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

Strong Candidates May Also Have

• 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

Representative Projects

• Building and optimizing BigQuery data models to enable self-serve analytics for recruiting teams and hiring managers
• Modeling data and building dashboards to drive better decision making around interviewer training and deeper understanding of interviewer capacity and constraints
• Implementing data governance and quality monitoring systems for sensitive employee data
• Spinning up a quick Google Sheets tracker to unblock a time-sensitive hiring initiative while the long-term solution is in development
• Conducting research on the effectiveness of our hiring processes and recommending improvements to reduce bias and improve candidate experience
• Collaborating with our compensation team to develop data-driven compensation analysis to ensure pay equity and market competitiveness
• Working with recruiting leaders to help them report to the business on basic recruiting metrics, hiring predictions, and opportunities for improvement

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$170,000 - $220,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.