Business Intelligence Analyst, Product Data Warehouse

Google LLC; Los Angeles (CA); Sur place; USD 116 000 - 166 000; Plein temps

Résumé du poste

Google LLC in the United States is seeking a Business Intelligence Analyst to join the Go-to-Market Product Data Warehouse team. You will own end-to-end BI solutions powering Ads data reporting, KPI development, and product adoption metrics for GTM initiatives.

You will build data pipelines, structured tables, and dashboards, collaborating with GPS and Ads Engineering to translate business questions into measurable insights for thousands of sellers.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 4 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).

Responsabilités

• Partner with Go-to-Market (GTM) teams to understand Ads product/feature priorities, translating questions into metrics and analyses.
• Design robust data models and pipelines, partnering with Ads Engineering to integrate data from multiple sources and systems and translate analyses into insights.
• Create intuitive dashboards, reports, and tools to enable self-service analytics across thousands of stakeholders.
• Prioritize across engaging requests, balancing short-term needs with long-term scalability.
• Leverage AI to accelerate development cycles while ensuring data and pipelines are tested and validated.

Connaissances

SQL

Data Visualization

BI

Formation

Bachelor’s degree or equivalent practical experience

Outils

Looker

Tableau

Power BI

Qlik

Description du poste

The application window will be open until at least November 3, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 4 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

• Experience with data warehousing or data modeling concepts.
• Experience with big data technologies (e.g., Hadoop, Spark, Python, or R).
• Experience with translating business requirements to BI solutions.
• Experience with explaining technical analysis to stakeholders.

About The Job

The Go-to-Market Product Data Warehouse (PDW) team supports Google's Ads data reporting needs - tracking and publishing key product adoption metrics, supporting data needs for product launches and betas, and preparing analyses that inform sales and product decisions on ad features. This role sits within the PDW XPS (Cross-Product Solutions) team, and owns product data and reporting related to Audiences, Google Marketing Platform (GMP), and Privacy and Responsibility.

As a Business Intelligence Analyst on the PDW Measurement team, you'll deliver end-to-end business intelligence solutions that power Google’s commercial measurement strategy and Go-to-Market (GTM) execution. You'll work with Global Product Solutions (GPS) to identify key ad features and goals and define what "good" looks like and how it's measured: with Ads PM and Engingeering to understand the backend systems that power our ads and turn them into actionable KPIs, and with regional go-to-market teams to learn what matters to sellers. You'll build and own the end-to-end data pipelines, structured tables, and user-friendly dashboards that serve thousands of sellers daily.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Partner with Go-to-Market (GTM) teams to understand Ads product/feature priorities, translating questions into metrics and analyses.
• Design robust data models and pipelines, partnering with Ads Engineering to integrate data from multiple sources and systems and translate analyses into compelling insights, communicating the "so what" to commercial leaders via clear verbal and written communications.
• Create intuitive dashboards, reports, and tools to enable self-service analytics across our thousands of stakeholders.
• Prioritize across engaging requests, utilizing a portfolio of solutions (from ad hoc analyses to scalable pipelines) that balance short-term needs with long-term scalability.
• Leverage AI to accelerate development cycles while ensuring all data and pipelines are fully tested and validated.

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 .