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MI
Associate Design Engineer, PWB Design
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Buffalo, NY
- $65,000 to $100,000 USD / year
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Google

Business Intelligence Analyst, Product Data Warehouse

Boulder, CO, United States

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Job details

Posting language: English
Posted: Oct 21, 2026

Original 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; +8 more; +7 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XThe 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, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; New York, NY, 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

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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More about this job

Skills

Business intelligence
Data warehouse
Data analysis
SQL
Data visualization
Looker
Tableau
Microsoft Power BI
Qlik
Data warehousing
Data modelling
Apache Hadoop
Apache Spark
Python
R
Reporting
Sales
Go
GPS
Data models
Recruitment

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