In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
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Health, dental, vision, life, disability insurance
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Retirement Benefits: 401(k) with company match
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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
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Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
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Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
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Baby Bonding Leave: 18 weeks
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Holidays: 13 paid days per year
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA.
- Bachelor’s degree or equivalent practical experience.
- 10 years of experience in business intelligence or data analytics.
- 10 years of experience in SQL and data visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).
- 5 years of experience of leading and managing individual contributors.
- Experience with data warehousing or data modeling concepts.
- Experience with big data technologies (e.g., Hadoop, Spark, Python, or R).
- Experience with translating business requirements to BI solutions.
- Experience with explaining technical analysis to stakeholders.
- Ability to lead the full lifecycle of data initiatives, from initial requirement gathering through to the deployment of scalable BI solutions.
- Proficiency in SQL and PLX for data warehousing and modeling concepts.
The Research & Evaluation team advances
Google.org's mission by developing research-informed strategies, establishing robust evaluative practices, and delivering actionable insights to amplify our collective impact.
The Evaluation team is accountable for developing evaluation strategies and models, developing data collection processes and tools, establishing and conducting data analysis methods, and building data visualization tools to make impact data available across
Google.org or strategic planning and decision making.
We accomplish our mission through the execution of key research & evaluation annualized programs for data collection, metric measurement and research, and through offering services to
Google.org supporting research and evaluation consultancy as well as fulfilling impact data requests.The US base salary range for this full-time position is $171,000-$248,000 + 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.
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.
- Consult with cross-organizational stakeholders to define data requirements and validation standards, translating complex client needs into actionable analyses using custom infrastructure and advanced data models.
Oversee business intelligence solutions and infrastructure design to facilitate data gathering, storage, and retrieval. Partner with upstream source systems to influence input and storage. Define and advocate for broader best practices.
- Lead a team of individuals. Set and communicate team priorities that support organizational goals.
- Define the path forward for the future of data modeling for ecosystem impact to enhance our business decision making and strategic planning.
- Deliver multi-source reporting suites and align them with overarching strategic programs.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.