Google

Senior Business Intelligence, Data Analyst GBOedu for gTech

Google Sunnyvale, California, United States · $141K–$205K/yr

Software Development · 10,001+ employees

8 h ago
data-analyst Senior (5-10 yrs) Full-time United States
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The Data Analyst will build and manage centralized learner activity dashboards to serve as a single source of truth for global learning analytics. They will also conduct data integrity audits and perform analyses to link learning programs to business outcomes and operational efficiency.

What they look for

Business intelligence Data analytics SQL Data visualization Looker Tableau Power BI Qlik Generative AI Prompt engineering AI-driven automation Dashboard development Data integrity Quantitative analysis Qualitative analysis Project management

Requirements

Candidates must have a bachelor's degree and at least 7 years of experience in business intelligence or data analytics. Proficiency in SQL and data visualization tools is required, along with the ability to navigate ambiguous problems and influence cross-functional partners.

Benefits

Bonus target Equity Health insurance Retirement benefits

Full description

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 7 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:

  • Intermediate to advanced experience in building scalable dashboards using tools such as Plx, Looker, Tableau, or PowerBI.
  • Working knowledge of HTML for dashboard embedding and interface enhancements.
  • Proficiency in utilizing generative AI tools, prompt engineering, and AI-driven automation to streamline data analysis, accelerate reporting workflows, and enhance overall efficiency.
  • Comfortable navigating ambiguous problems, leveraging data to drive decisions, and influencing cross-functional partners.
  • Strong background in defining and evaluating processes, identifying efficiency opportunities, and managing projects semi-autonomously within a global, changing environment.

About the job:

The GBOedu for gTech Team (go/gTechLearning) works diligently to ensure every Googler has access to the resources they need to become their best personal and professional selves. We leverage AI, technology, and formats to scale learning across gTech. We support gTech’ers at all stages of their careers for both IC's and managers. We have four key beliefs about learning that it is personal, social, process, and happens in real life and we infuse these beliefs throughout the wide array of learning and development opportunities within gTech. In this role, you will always be thinking about new ways to help others grow, and you will share a passion for empowering gTech’ers to unlock their full potential.The Data Analyst serves as the central pillar for data-driven decision-making, learning measurement, and reporting across all GBOedu for gTech learning programs.

You will understand learner needs, demonstrate the return on investment (ROI) of training programs, leveraging AI tools to drive operational efficiency, and ensuring alignment with overall business objectives. You will partner closely with gTech as well as the broader learning ecosystem (GBOedu etc.)

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

US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

  • Build and manage centralized learner activity dashboards including GBOedu, Manager, Facilitator, and Audit Dashboards serving as the single source of truth for global learning analytics.
  • Partner with Commercial Activation to align measurement strategies across GBOedu teams, ensuring unified analytics and cross-functional visibility during the transition to Connect Learning.
  • Conduct weekly data integrity audits across pipelines and reporting solutions to guarantee scalability, reliability, and full compliance with internal engineering standards.
  • Perform quantitative and qualitative analyses linking learning programs to business outcomes, evaluating training efficiency and behavioral impacts to shape learning and development strategy.
  • Drive operational efficiencies, establish automated reporting templates, and collaborate with Program Managers to deliver data that informs executive decision-making.

Similar roles