Business Intelligence Analyst, Google.org Tech for Social Impact

• 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.

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.

• 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.