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Open nowFirst seen 9 hours ago

Business Intelligence Generalist, Google.org Tech for Social Impact

Google3,111 open roles

Where
Seattle, WA, USA; Mountain View, CA, USA; San Francisco, CA, USA
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Your applicationOpen nowBusiness Intelligence Generalist, Google.org Tech for Social ImpactGoogle · Seattle, WA, USA; Mountain View, CA, USA; San Francisco, CA, USA

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 27 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: first seen 9 hours ago

Google median: 27 days open

The posting

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:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • 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
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • 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: Seattle, WA, USA; Mountain View, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in Business Intelligence or Data Analytics.
  • 4 years of experience in SQL and Data Visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).

Preferred qualifications:

  • Experience in philanthropy or social impact operations and cross-functional data ecosystems.
  • Experience designing data elements, structures, and schemas for longitudinal tracking and impact reporting.
  • Experience building reproducible ETL pipelines and calculating impact metrics using SQL and scripting languages.
  • Experience with data validation, profiling, and root-cause analysis using Business Intelligence tools and dashboards.
  • Experience communicating technical, statistical, or evaluative details with engineering and non-technical stakeholders.

About the job

The Google.org Tech for Social Impact (TSI) team accelerates social impact through technology by providing data infrastructure and tools to nonprofits and civic entities. We unify Google.org’s global giving data into a single source of truth, building standardized models and implementing robust metrics to empower leadership to track and maximize our philanthropic impact.

In this role, you will deliver end-to-end business intelligence projects aligned with Google.org’s Research and Evaluation Strategy. Using your expertise in SQL, data modeling, and BI tools, you will design scalable data structures and maintain ETL pipelines to unify funding records with research findings. You will manage ambiguous problems, such as operationalizing counterfactual models, and enhance our BI infrastructure. Ultimately, you will translate complex impact metrics into clear, actionable dashboards that enable teams and leadership to measure program performance.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Deliver full pieces of Business Intelligence (BI) work integrated into Google.org’s measurement strategy with minimal assistance, exploring the “why” of problems beyond the surface-level ask.
  • Design data structures, relational schemas, and data models (across business intelligence platform, CRM tooling, and Google.org's harmonized data infrastructure) to store, link, and retrieve longitudinal funding and other data.
  • Calculate and automate moderately complex impact metrics for all Google.org’s annual and program-specific reporting initiatives using standardized models, external benchmarks, and counterfactual assumptions.
  • Operationalize pillar metric calculations across Google.org pillar areas including Knowledge, Skills and Learning (KSL), Scientific Progress (SP), Stronger Communities (SC), and Global Programs (GP).
  • Review, validate, and profile incoming data to diagnose reporting anomalies, maintain related ETL pipelines, and land self-service BI dashboards.
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