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Business Intelligence Analyst, Compute Operational Excellence

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst
  • Business
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 141000 - 205000 USD Yearly USD 141000.00 205000.00 YEAR
Job Description & How to Apply Below

Business Intelligence Analyst, Compute Operational Excellence

Share Business Intelligence Analyst, Compute Operational Excellence

Google Kirkland, WA, USA ;
Atlanta, GA, USA ; +1 more

X 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
Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA;
Atlanta, GA, USA;
Austin, TX, USA

.
  • Bachelor's degree with emphasis on coursework of a quantitative nature (e.g., Engineering, Computer Science, Mathematics, Physics, Statistics, Economics or Finance), or equivalent practical experience.
  • 7 years of experience in business intelligence or data analytics.
  • Experience in statistical programming languages (e.g., Python, R) for advanced diagnostic, predictive, and prescriptive modeling.
Preferred qualifications:
  • Master's degree in Business, Data Science, Operations, or a related quantitative discipline.
  • Experience working within trust and safety, risk management, or complex human review operations analytics.
  • Experience defining metrics, structuring ambiguous problems, and executing analytical projects from end-to-end.
  • Track record of presenting complex data effectively to executive stakeholders and cross-functional teams.
  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
About the job

As a Business Intelligence Analyst within the Operational Excellence Analytics team, you will serve as a Strategic Advisor and Lead Analyst for the Compute Trust and Safety (T&S) organization. You will take ownership of our executive reporting and operational insights, handling ambiguous, high-visibility, and high-urgency analytical requests. Your work will directly impact our operations by identifying and sizing operational improvement opportunities, developing scenario plans, and establishing robust performance metrics.

You are expected to operate with minimal guidance, leveraging a full spectrum of problem solving skills—from descriptive and diagnostic to predictive and prescriptive. Beyond technical execution, you will advocate data-driven decision-making by crafting compelling narratives and influencing trust and safety leadership across cross-functional domains. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

As a Business Intelligence Analyst within the Operational Excellence Analytics team, you will serve as a Strategic Advisor and Lead Analyst for the Compute Trust and Safety (T&S) organization. You will take ownership of our executive reporting and operational insights, handling ambiguous, high-visibility, and high-urgency analytical requests. Your work will directly impact our operations by identifying and sizing operational improvement opportunities, developing scenario plans, and establishing robust performance metrics.

You are expected to operate with minimal guidance, leveraging a full spectrum of problem solving skills—from descriptive and diagnostic to predictive and prescriptive. Beyond technical execution, you will advocate data-driven decision-making

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