Senior Business Intelligence, Sellside Monetization

Mid

Google Dublin, Ireland;
Mountain View, CA, USA; +2 more; +1 more

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

X

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Dublin, Ireland;
Mountain View, CA, USA;
New York, NY, USA
.

• Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent practical experience.
• 7 years of experience in business intelligence, data analytics, or data science.
• Experience in SQL, and writing, optimizing, and debugging queries across datasets.
• Experience with Python for data manipulation, scripting, or automation.

• Experience designing and building data warehouses or datamarts from scratch (e.g., schema design, ETL orchestration, data modeling).
• Experience navigating and fixing legacy data infrastructures or migrating from fragmented systems to a central warehouse.
• Experience in revenue, sales pipeline, or financial reporting.
• Experience applying machine learning (ML) or AI concepts to BI workflows.
• Experience with Salesforce data schemas and CRM analytics.

Sellside Monetization plays a key role in Google’s mission, by enabling creators to fund their content by showing advertisements to users. Our group partners with leading web publishers, app developers and channel partners to grow their businesses using Google’s portfolio of products, including AdSense, AdMob, and Google Ad Manager. We offer a solutions-based approach across advertising, analytics, and site or app design, and pride ourselves on finding new opportunities for our partners to better engage users and advertisers.

Over a million publishers and app developers leverage our products and solutions to grow their businesses.

We are forming a brand new Central Business Intelligence function to unify our data strategy. We are moving from a fragmented data landscape to a robust, future-proof infrastructure that will drive revenue reporting, pipeline visibility, and set the foundation for our next generation of AI capabilities.

As a Senior Business Intelligence Analyst, you will operate at the intersection of data analysis and data engineering. You will act as a technical anchor, transforming complex, "messy" data realities into a clean, scalable source of truth that powers decision‑making for Sales, Support, and Product leadership.

For US Candidates:
The US base salary range for this full‑time position is $141,000–$207,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Audit, deconstruct, and rebuild legacy data pipelines to create a single, reliable source of truth for revenue and pipeline reporting.
• Design and implement the data layers required to support future AI and machine learning initiatives for the sales organization.
• Write production‑grade, expert‑level SQL and build Python scripts for ETL and automation to bridge the gap between raw data engineering and strategic insights.
• Design business intelligence solutions that anticipate future scale, translating complex metrics into formats that enable teams to quickly derive relevant information.
• Partner with upstream data providers to establish new source pipelines and influence broader data best practices across the organization.

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…