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

MINIMUM QUALIFICATIONS

• 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++).

PREFERRED QUALIFICATIONS

• 2 years of experience designing and implementing KPI frameworks, OKR

tracking, and headcount management analytics for senior leadership.

• Experience navigating ambiguous business requirements and modeling complex

what-if scenarios.

• Experience with data governance best practices and proactively identifying

automated solutions for data quality improvements.

• Experience leveraging Generative AI (GenAI) or Large Language Model (LLM)

• tools to accelerate analytical workflows, deep-dive trend analyses, or
• automated reporting.

ABOUT THE JOB

• 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.

• As a Business Data Analyst, you will act as the analytical backbone for Google
• Global Infrastructure (GGI) leadership, translating complex operational data
• into easily digestible insights and strategic narratives. Your role is crucial
• for elevating the way GGI performs at scale, empowering executive
• decision-making across Key Performance Indicator (KPIs), Objectives and Key
• Results (OKRs), Top Programs and headcount management.The AI and Infrastructure
• team is redefining what’s possible. We empower Google customers with
• breakthrough capabilities and insights by delivering AI and Infrastructure at
• unparalleled scale, efficiency, reliability and velocity. Our customers include
• Googlers, Google Cloud customers, and billions of Google users worldwide.

• We're behind Google's groundbreaking innovations, empowering the development of
• AI models, delivering unparalleled computing power to global services, and
• providing the essential platforms that enable developers to build the future.
• From software to hardware our teams are shaping the future of world-leading
• hyperscale computing, with key teams working on the development of our TPUs,
• Vertex AI for Google Cloud, Google Global Networking, Data Center operations,
• systems research, and much more.Individual pay is determined by factors
• including job-related skills, experience, and relevant education or training.

US: $124000 - $177000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES

• 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.