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Data Analyst, gReach Program (Japanese, English)

GoogleTokyo, Japan

Google welcomes people with disabilities.

This role is exclusively for people who have a Japanese government-issued disability certificate.


Minimum qualifications:

  • Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 2 years of work experience using analytics and programming languages (e.g., Python, R, SQL) to solve product or business problems.
  • Ability to communicate in Japanese and English fluently in order to interact with internal and external stakeholders.

Preferred qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

The gReach Program is a 12 months paid upskilling program for industry professionals with disabilities where participants will receive on-the-job-training and work on a range of projects. The goal of the gReach program is to provide participants with the opportunity to grow their career as professionals.

Responsibilities

  • Conduct Exploratory Data Analysis (EDA) on various marketing datasets, including sales transactions, advertising, web and app traffic, promotions, and macroeconomic factors.
  • Apply statistical and causal inference models, such as Marketing Mix Modeling (MMM).
  • Deliver presentations on investigative insights to internal and external stakeholders.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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