People Analyst, HR Products

People Analyst, HR Products at Google

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 a People 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 a People Analyst supporting the development of user first HR Products, you will be part of a team that makes our data universally useful, reliable and accessible for our internal stakeholders and partners across People Operations. You will use research and analytics to solve problems, build data and dashboards solutions to drive insights and perform analysis to drive performance and strategy. You will manage ongoing client relationships; prioritizing work and navigating ambiguity while collaborating on projects that may involve multiple teams in an unstructured environment. You will have the ability to think ahead strategically while simultaneously acting tactically. You will have technical data experience, problem-solving skills, and a knack for project management.

The application window will be open until at least March 2, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Responsibilities

• Help stakeholders improve business processes.
• Work with a team of business analysts to implement integrations and design strategies.
• Provide employee feedback analysis, operational monitoring, and error resolution.
• Make key contributions to project execution and solve scaled operations problems.
• Oversee execution of data-oriented analysis and influence business decision-making.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience interacting with and manipulating data using tools such as SQL, R, or other statistical languages.
• 5 years of experience working with multiple data sources, combining information to generate insights from analyses, and creating reporting solutions for an executive audience (e.g., dashboards, tables, templates, metrics).

Preferred Qualifications

• 5 years of experience collaborating on projects involving multiple teams and managing ongoing client relationships.
• 5 years of experience using quantitative and qualitative strategies to measure the effectiveness of programs, interventions, and efforts.
• Experience with AI/ML technologies or investigative approaches.
• Experience with SQL, manipulating and analyzing large data sets to distill insights from data.
• Experience in a client-facing role using data visualizations to represent analyses to an executive audience.

Compensation and Benefits

The US base salary range for this full-time position is $117,000-$168,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Benefits for this role include: Health, dental, vision, life, disability insurance; Retirement Benefits: 401(k) with company match; Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment; Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary); Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks; Baby Bonding Leave: 18 weeks; Holidays: 13 paid days per year.

Key skills/competency

• Data Analysis
• SQL
• R
• Statistical Modeling
• Data Visualization
• Project Management
• Client Relationship Management
• HR Analytics
• AI/ML Concepts
• Problem-Solving