Product Analyst, Data Science
Google
Tokyo, Japan
‎‎1 時間前

Product Analysts provide quantitative analysis, market expertise and a strategic perspective to our partners throughout the organization.

As a data-loving member of the team, you'll serve as an analytics expert for your partners, using numbers to help them make better decisions.

You will weave stories with meaningful insight from data. You'll make key recommendations for your fellow Googlers in Engineering and Product Management.

As a Product Analyst, you relish tallying up the numbers one minute and communicating your findings to a team leader the next.

You can see different angles of a product or business opportunity, and you 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.

Responsibilities

  • Conduct data analysis to make business recommendations (e.g., cost-benefit, invest-divest, forecasting, impact analysis).
  • Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
  • Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.
  • Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.
  • Help Google to focus on key decisions to improve products and services.
  • Minimum qualifications :

  • Bachelor's degree or equivalent practical experience.
  • 3 years of experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.).
  • Experience articulating product questions, pulling data from datasets (i.e., SQL), and using statistics to arrive at an answer.
  • Preferred qualifications :

  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
  • Experience in scripting with SQL, extracting large sets of data, and design of ETL flows.
  • Experience in an inter-disciplinary / cross-functional field.
  • Interest and aptitude in data, metrics, analysis, and trends and applied knowledge of measurement, statistics, and program evaluation.
  • Ability to translate analysis results into business recommendations.
  • Excellent business judgment. Excellent problem-solving and written and verbal communication skills.
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