Data Analyst, Consumer and Market Insights, gReach Program (Japanese, English)
Data Analyst, Consumer and Market Insights, gReach Program (Japanese, English)
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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 experience in 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
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.
Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.
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.
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