Senior Business Intelligence, Data Analyst GBOedu for gTech

Google LLC
Sunnyvale, CA, United States
27 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$141,000.0 - $205,000.0
Working hours
Regular working hours
Job source

Tech stack

HTML Artificial Intelligence Data Analysis Business Intelligence Development Encodings Data Integrity Power BI Tableau (Software) Prompt Engineering Generative AI Data Analytics Qlikview
+1 more
Looker Analytics

Job description

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, * 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Requirements

  • 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)., * 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.

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