Business Intelligence Analyst, Product Data Warehouse

Google LLC; Chicago (IL); Hybrid; USD 116,000 - 166,000; Full time

Benefits offered by this job

Bonus target 15%

Equity

Benefits package

Job summary

Google LLC is seeking a Business Intelligence Analyst for the Product Data Warehouse to advance Ads data reporting, metrics, and self-serve analytics across thousands of stakeholders.

You will partner with GTM teams, design pipelines with Ads Engineering, and translate business questions into tangible insights, leveraging AI to speed delivery while maintaining 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 (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 translate analyses into insights for leaders.
• Create intuitive dashboards, reports, and tools to enable self-service analytics across thousands of stakeholders.
• Prioritize across engaging requests, using a mix of ad hoc analyses and scalable pipelines for short-term and long-term needs.
• Leverage AI to accelerate development cycles while ensuring data and pipelines are fully tested and validated.

Skills

SQL

Data Visualization

BI

Stakeholder communication

Education

Bachelor’s degree or equivalent

Tools

Hadoop

Spark

Python

R

Job description

Business Intelligence Analyst, Product Data Warehouse

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.

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.

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.