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AI Job Summary

Develop commercial strategy and business plans for analytics product suites, using data modeling to project adoption and growth while providing executive insights on performance and ecosystem impact. Requires a Master's degree in a quantitative field or equivalent experience, plus three years applying analytics, coding (Python, R, SQL), or database work to product or business problems. Four years of relevant experience preferred.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Shape and scrutinize the commercial strategy for the GA and CM product suites, evaluating the impact on business and the broader Google Ads ecosystem.
  • Drive the annual business plan and establish operational goals, providing executive-level business performance updates and actionable insights.
  • Architect sophisticated market sizing and opportunity models to project medium-to-long-term product adoption and growth trajectories.
  • Drive cross-functional thinking to assess the incrementality and benefits of the product suites within the larger Google user ecosystem.
  • Act as a thought partner on incentive fund investments, ensuring disbursement operations and flagging risks to fund deployment.

Minimum qualifications:

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Preferred qualifications:

  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
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  • Role Business Data Scientist, Google Analytics
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

255K – 369K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 86 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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