Business Intelligence Generalist, Product Data Warehouse

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience in business intelligence or data analytics.
• 2 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 team tracks adoption of ads and measurement products and features. This is used to generate lead lists, analyze the value of various features, set priorities for sales teams, and to help influence the direction of Ads products. Our goal is to organize and produce data that's thoughtful, useful to sales teams, and widely accessible.

In this role, you will lead the measurement and monitoring of the measurement, audience and data products by developing Key Performance Indicators (KPIs), data pipelines, dashboards, and doing analysis to derive insights and opportunities. You will work cross-functionally with global product leads, Go-to-Market, sales, etc. to make sure we have a clear understanding of measurement, audience and data products and to find areas of opportunity.

The US base salary range for this full-time position is $96,000-$136,000 + 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.

In this role, you will lead the measurement and monitoring of the measurement, audience and data products by developing Key Performance Indicators (KPIs), data pipelines, dashboards, and doing analysis to derive insights and opportunities. You will work cross-functionally with global product leads, Go-to-Market, sales, etc. to make sure we have a clear understanding of measurement, audience and data products and to find areas of opportunity.

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.

Responsibilities

• Drive Ads and Measurement feature adoption by developing scalable, shareable sales tools, dashboards, data, and programs using internal tools.
  
• Synthesize advertiser data and conduct analyses to deliver insights and actionable recommendations for product and sales leadership.
  
• Define and prioritize KPIs to drive key global initiatives that will be used by regions, countries, and sales pods in all sales channels.
  
• Be a strategic thought partner to commercial leaders of products.
  
• Manage special projects as assigned.