Startups

Business Data Analyst II, Google Global Infrastructure, Strategy and Operations

Google · United States · On-site

← All jobs
About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

What they're looking for

  • Bachelor's degree in Engineering, Math, Quantitative Science, or a related technical field, or equivalent practical experience
  • 3 years of experienceworking in data analytics, consulting, data science, engineering, or a technical operations role
  • 3 years of experiencein statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++)
More about this role
  • Own and execute end-to-end data preparation, analytical modeling, and metric validation for regular reports, and translate complex operational data into actionable strategic narratives for stakeholders.
  • Conduct deep-dive trend analyses across core data areas (such as headcount management, program management, OKRs, and KPIs) to provide proactive, automated alerts and insights to senior leadership.
  • Partner closely with StratOps leads to provide analytical tracking frameworks, status reporting, and performance insights for core business areas.
  • Evaluate regularly and provide recommendations to improve overall data quality.
  • Enable the CoS office with data models and what-if scenarios to support leadership in making operational decisions.
  • Bachelor's degree in Engineering, Math, Quantitative Science, or a related technical field, or equivalent practical experience.
  • 3 years of experienceworking in data analytics, consulting, data science, engineering, or a technical operations role.
  • 3 years of experiencein statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++).
  • 2 years of experience designing and...

Read the full posting on Google's site ↗

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.