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

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.
• - 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.

Minimum qualifications:

Preferred qualifications:

Qualifications

• 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.