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.
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.
Responsibilities
- Lead and contribute to analytics projects to design, build, and launch scaled people insights solutions (dashboards, agents, skills), which will include requirements gathering, planning, development,stakeholder management, and on-going support.
- Partner with the people analytics ecosystem to deliver research, guidance and people program insights (e.g., GRAD, Learning) at scale to critical user groups including Google’s leaders and people partners.
- Automate, simplify, and maintain robust BI development workflows, proactively identifying opportunities to leverage GenAI tools (like Jetski) for rapid prototyping and agentic development.
- Query, manipulate and analyze large data sets to distill insights from the data and connect disparate ideas into cohesive, well-grounded recommendations.
- Partner cross-functionally (with POps engineering, data science, and BI) to define requirements and shape AI-ready data foundations including informing data mart design, contributing to semantic layers, authoring agent skills, and evaluating model outputs.
Minimum qualifications:
- Bachelor's degree in a quantitative discipline (e.g., Statistics, Math, Computer Science, Engineering) or equivalent practical experience.
- 5 years of experience with enterprise Business Intelligence (BI) suites (e.g., Looker, Power BI, Tableau, etc) and with enterprise datasets (e.g., workforce, finance, CRM/customer, or operations data).
Preferred qualifications:
- Experience applying statistical analysis, experimental design, or quantitative methods to solve scaled operations problems.
- Experience collaborating on projects involving multiple teams, managing relationships with clients, and presenting to audiences.
- Foundational understanding of Generative AI and data science concepts, particularly how they can be integrated into reporting workflows or leveraged via tools like Gemini/coding copilots.
- Exceptional people management and communications skills.
- Client service-oriented with an emphasis on creativity and diligence.