About the job

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.

Responsibilities

• 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.

Minimum qualifications

• 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.

Preferred qualifications

• 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.