Data Engineer, Go - to - market

Data Engineer, Go-To-Market

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 is thoughtful, useful to sales teams, and widely accessible. You will also find our work in sales analytical leads' database scripts, in the weekly executive leadership meetings, and referenced in Ads annual plans.

As a Data Engineer, you will monitor the measurement, audience and data products by developing Key Performance Indicators (KPIs), data pipelines, dashboards, and doing ad-hoc analysis to derive insights and opportunities. You will work cross-functionally with global product leads, Go-to-Market, sales, etc.

The US base salary range for this full-time position is $102,000-$146,000 + 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.

Responsibilities:

• Drive Ads and measurement feature adoption by developing scalable, shareable sales tools, dashboards, data, and programs using F1 query engine, and other tools to support key resources like connect sales.
• 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 in all sales channels.
• Be a strategic thought partner to commercial leaders of products like Marketing Mix Modeling (MMM).
• Handle special projects as assigned.

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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.

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