Business Intelligence Analyst, Product Data Warehouse

Google LLC; New York, Atlanta (NY, GA); On-site; USD 116,000 - 166,000; Full time

Job summary

Google LLC in the United States seeks a Business Intelligence Analyst for the Go-to-Market Product Data Warehouse team. You will own end-to-end BI solutions for audiences, GMP, and privacy reporting, building data pipelines, models, and dashboards used by thousands of sellers daily.

Collaborate with GPS and Ads engineering to translate business questions into KPIs, deliver scalable analytics, and ensure data quality.

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).

Responsibilities

• Partner with Go-to-Market teams to translate questions into metrics and analyses.
• Design robust data models and pipelines, collaborating with Ads Engineering to integrate data from multiple sources.
• Create intuitive dashboards, reports, and tools for self-service analytics across thousands of stakeholders.
• Prioritize requests with a balance of short-term needs and long-term scalability.
• Leverage AI to accelerate development cycles while ensuring data and pipelines are fully tested.

Skills

SQL

Data Visualization tools

BI/Data Analytics experience

Translating business requirements toBI

Explaining analytics to stakeholders

Data modeling concepts

Big data tech (Hadoop/Spark/Python/R)

Education

Bachelor’s degree or equivalent practical experience

Tools

Looker

Tableau

Power BI

Qlik

Job description

Business Intelligence Analyst, Product Data Warehouse

Share Business Intelligence Analyst, Product Data Warehouse

corporate_fare Google place Atlanta, GA, USA ; Boulder, CO, USA ; +6 more

X 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: Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Bruno, CO, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

• 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.

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
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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.