Analyst, People Operations

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience interacting with and manipulating data using tools such as SQL, R, or other statistical languages.
• 7 years of experience turning data into a narrative with visualizations (e.g., charts, graphs, tables) and presenting to HR professionals and executives.

Preferred qualifications:

• Experience with headcount capacity planning and/or HR Operations.
• Experience developing client-oriented solutions, with an emphasis on creativity and diligence, displaying excellent communications skills and attention to detail.
• Experience collaborating on projects involving multiple teams and managing ongoing client relationships.
• Experience with mathematical modeling, resource planning, machine learning, statistics, operational research, or conducting research using basic statistics.
• Experience with Python (Pandas, NumPy, Scikit-learn).
• Excellent business acumen and executive presentation skills with the ability to translate data and analysis into business insights.

About the job

At Google, data drives all of our decision-making, and our HR organization is no exception. The People Analytics team acts as an internal innovation lab, using analytical approaches to make sure Google continues to be a great place to work. The team provides critical support to the business around issues of organizational health and is responsible for not just taking the pulse of our Googlers, but harnessing Googler feedback to drive change for the better. As an analyst you'll be detail-oriented and conscientious, analytical and curious. You're a strong problem-solver, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution.

As an analyst in People Experience (PX), you will work closely with PX Leadership and Google's central finance teams to lead action-oriented analyses, drive critical decisions about PX resourcing, and provide regular reports on performance and trends. You will own a core area of PX capacity planning, understand key drivers, own development of capacity models and forecasts, flag risks, and partner with stakeholders to drive their strategic planning ensuring that PX is well-informed and able to make thoughtful, data-driven decisions.

Great just isn't good enough for our People Operations team (known elsewhere as "Human Resources"). We bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next Googler, refining our core programs, developing talent, or simply looking for ways to inject some more fun into the lives of our Googlers, we bring a data-driven approach that is reinventing the human resources field. You'll play an essential role advancing a more diverse, accessible, equitable, and inclusive Google through our hiring, promotion, retention, and inclusion practices.

The US base salary range for this full-time position is $132,000-$198,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Own a core area of PX capacity planning from end to end including setting the product roadmap, data modeling, reporting, and getting stakeholder buy-in.
• Be a thought partner and trusted advisor for PX Leadership and POps Finance to provide insights and recommendations grounded in data.
• Lead development of new analysis to drive data-driven recommendations and diagnose root cause issues. Partner cross-functionally to develop automated solutions at scale.
• Prioritize and work effectively in an environment with competing demands.
• Be a thought leader and drive positive change by challenging the status quo.