Senior Data Analyst, Ads Metrics

vor 2 Wochen


Zürich, Zürich, Schweiz Google Vollzeit

Job Description


    We are seeking a highly skilled Data Scientist, Ads Metrics to join our team at Google. As a key member of our advertising solutions group, you will collaborate with software engineers, product managers, researchers, and analysts to innovate and enhance experiment design, causal inference, and time-series analysis for business-critical launches.


    Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results.


Responsibilities



  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
  • Provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
  • Design and evaluate models to mathematically express and solve defined problems.
  • Gather information, business goals, priorities, and organizational context around the questions to answer.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools.
  • Independently format, re-structure, or validate data to ensure quality.

    If you have a passion for data analysis and a desire to make a meaningful impact, we encourage you to apply for this exciting opportunity.


Requirements



  • Master's degree in a quantitative discipline or equivalent practical experience.
  • 5+ years of experience using analytics to solve product or business problems.
  • Experience with statistical data analysis and experimental design.
  • Experience with regression analysis for prediction and forecasting.
  • Preferred qualifications: Master's degree or PhD in a quantitative discipline and 8+ years of experience using analytics to solve product or business problems.

    We are an equal opportunities employer and welcome applications from diverse candidates.



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