Business Intelligence Analyst, Google.org Tech for Social Impact
Google· Internet & Cloud Services· Oct 5, 2026 · 23d ago
Seattle, WA, USA · Mountain View, CA, USA · San Francisco, CA, USA
In office
Full-time
Senior
$140K–$198K est.
6+ years exp
Job description
The Google.org Tech for Social Impact (TSI) team helps nonprofits and civic entities achieve sustained social impact at scale by providing data infrastructure, visualization tools, and technology. Our team serves as the central hub for Google.org’s data, unifying global giving information into a source of truth to help leadership track and maximize the organization’s philanthropic impact.
In this role, you will serve as a strategic partner and internal consultant to Google.org leadership. You will leverage data analytics, research, and business acumen to shape philanthropic strategy, optimize resource allocation, and inform executive decision-making across our global pillars.
You will act as a bridge between pillar leadership and technical teams, translating complex social impact challenges into analytical frameworks. You will generate data-driven hypotheses and conduct quantitative and qualitative analyses to deliver actionable insights. You will partner with analysts and researchers to ensure findings are both intellectually robust and operationally implementable, driving a culture of data-informed strategy.
You will also critically evaluate and evolve our impact measurement frameworks against ecosystem benchmarks. Working closely with pillar leads and operations teams, you will translate strategic outlook into tangible changes in funding models, budget allocation, and operational capabilities. Through regular engagement with Google.org executives, you will build consensus around high-stakes decisions and mobilize cross-functional teams to execute on key initiatives.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $148000 - $214000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Act as a strategic thought partner to Google.org pillar leadership, balancing intellectual theory with implementability to deliver "client-ready" recommendations.
• Analyze impact metrics and evaluation research across all Google.org’s reporting initiatives to strategically advise across all four Google.org philanthropic pillars.
• Synthesize cross-pillar research and evaluation results, metrics and analytics into executive narratives for use in portfolio allocation frameworks.
• Lead hypothesis-driven problem solving, impact measurability-gap assessments, and strategic prioritization for priority social impact initiatives.
• Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
• 6 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++).
• 6 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
Minimum qualifications:
• Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
• 6 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++).
• 6 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
Preferred qualifications:
• Experience in management consulting, corporate strategy, business operations, or impact strategy with a focus on implementation.
• Knowledge of key philanthropic areas (e.g., KSL, Scientific Progress, or Stronger Communities) and Google.org partnership.
• Exceptional presence and ability to craft persuasive, client-ready narratives that influence senior executives and cross-functional teams.
• Passion for philanthropy blended with strategic ability to evaluate Theory of Change models and societal outcomes.
• Skills in data analysis, synthesis, and hypothesis-driven methods to translate research into actionable strategies.
Application prep
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