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Marketing Data Analyst Global Partnerships jobs at Google in United States, Mountain View

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United States
State
Mountain View
677 jobs found
10.11.2025
G

Google Discover Data Scientist Research United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems,...
Description:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
  • Ability to clearly explain stats or domain knowledge to people not familiar with the subject matter or who lack a quantitative background.
  • Ability to collaborate cross-functionally and work effectively within a distributed team.
  • Excellent communication skills.
  • Excellent collaboration skills.
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09.11.2025
G

Google Data Scientist Research PhD Early Career Start United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data. 1 year of...
Description:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data.
  • 1 year 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.
  • Experience in one or more of the following areas: Coding (e.g., C/C++, Python, Java), Databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), Statistical analysis (e.g., R, Stata, SPSS, SAS), or Hypothesis testing.

Preferred qualifications:
  • Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
  • Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
  • Applied experience with machine learning on large datasets
  • Ability to start full-time role in 2026.
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These jobs might be a good fit

09.11.2025
G

Google Software Engineer III Front End Google Cloud Data Management United States, California, Mountain View

09.11.2025
G

Google Media Marketing Manager Lab iOS Search Performance United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
Bachelor's degree or equivalent practical experience. 6 years of experience in marketing working across one or more marketing fields (i.e. growth, product marketing, brand marketing, social). Experience with the Google...
Description:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience in marketing working across one or more marketing fields (i.e. growth, product marketing, brand marketing, social).
  • Experience with the Google Stack (i.e.Google Ads, DV360, SA360, GA4), Social Media Platform (e.g., Snap, TikiTok) and direct partner buys.
  • Experience with Google AI Products for campaign set-up, asset creation and audience targeting tactics.
  • Experience working cross-functionally with stakeholders and teams.

Preferred qualifications:
  • Experience with causal/incrementality testing and optimizing the customer journey.
  • Experience with the full marketing funnel, including Brand experience or previous work on integrated teams that plan full funnel marketing.
  • Experience managing technical projects to integrate performance media with owned and operated marketing channels, including translating marketing needs into technical requirements.
  • Knowledge of the apps marketing, apps advertising solutions (on-stack and off-stack) and landscape.
  • Understanding of leveraging Google Stack, focusing on direct response solutions like Search, Display, Video.
  • Ability to communicate tasks and ideas to non-technical people in product management, creative, etc.
Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems,...
Description:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
  • Ability to clearly explain stats or domain knowledge to people not familiar with the subject matter or who lack a quantitative background.
  • Ability to collaborate cross-functionally and work effectively within a distributed team.
  • Excellent communication skills.
  • Excellent collaboration skills.
Show more
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