People Analyst, Scaled Analytics
Google · Bangalore
Collected role description
Role overview
People Analyst, Scaled Analytics at Google
Required qualifications
- Minimum qualification: 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 and skills
- Preferred qualification: 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.
Employment details
- Location: Bengaluru [Karnataka] [India]
Application details
- Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
About the employer
- Google is proud to be an equal opportunity and affirmative action employer.
- Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
- Please do not forward resumes to our jobs alias, Google employees, or any other organization location.
Additional role details
- We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
- See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
- If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
- To all recruitment agencies: Google does not accept agency resumes.
- Google is not responsible for any fees related to unsolicited resumes.
- Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.
- Alphabet Inc. is your sole contractual partner with respect to equity grants.
- GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement.
- They have no impact on statutory payments.
- Current or past grants do not confer an acquired right.
Collected minimum qualification
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).
Collected preferred qualification
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.
Collected experience requirement
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).