Product Analyst, Search Experience, Data Science and Engineering

Google
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Job Description

Minimum qualifications:

  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences) or equivalent practical experience.
  • 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
  • Experience in articulating product questions, extracting data from datasets (i.e., SQL), and using statistics.

Preferred qualifications:

  • PhD degree in a quantitative discipline (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences) or in a related field.
  • 2 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Experience in machine learning on large datasets.
  • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
  • Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.

About the job

In this role, you will provide quantitative analysis, market expertise and a strategic perspective to our partners throughout the organization. As a member of the team, you'll serve as an expert for your partners, using numbers to help them make better plans.

You will weave stories with meaningful insight from data. You'll make key recommendations for your fellow Googler's in Engineering and Product Management. You will see different angles of a product or business opportunity, and know how to connect the dots and interact with people in various roles and functions. You will work to effectively turn business questions into data analysis, and provide meaningful recommendations on strategy.

Use this template only when existing Area Templates don't apply. For one-off use cases, not ongoing roles. If you need to create a NEW template for your team submit a request at go/jdreview.

Responsibilities

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
  • Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
  • Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
  • Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user facing products.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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