Data Analyst, Manager Candidate - Ecosystem Utilization Promotion Office, AI & Data Office(C&M)

Job Description:

Business Overview

Rakuten operates over 30 services, including Rakuten Ichiba, Rakuten Travel, Rakuma, and Rakuten Healthcare, making it a core company within the Rakuten Group.

Department Overview

This organization is a newly established strategic department, formed on June 1, 2024, with the aim of maximizing synergy between Rakuten Mobile and other Rakuten Group services. We strive to maximize overall group revenue and ROI (Return on Investment) by acquiring Rakuten Mobile users and fostering loyal users across our various services.
With high expectations from management, you will be working in a highly dynamic environment that demands a sense of speed and a challenging mindset.

AI & Data Office is an organization that promotes data utilization across the Company. Our mission is to effectively utilize data assets, maximize revenue through data support for business units, develop data talent, and promote the use of AI.
This organization reports to the Company Chief AI & Data Officer, who also serves as the Tech Executive Officer for the Commerce & Marketing Company. We play a critical role in creating business value through the power of data and AI for diverse services, including Rakuten Ichiba.
This is a very rewarding position that allows you to be involved with one of Japan's leading e-commerce and service ecosystems.

Position:

Why We Hire

We are planning to increase our headcount to strengthen the department's structure in order to further promote the use of data.

Position Details

In this position, you will be responsible for promoting data utilization to maximize the synergy between Rakuten Mobile and the services of the Commerce & Marketing Company within the Ecosystem Utilization Promotion Office.
You will be responsible for visualizing user behavior by utilizing multiple data sources and deriving insights that contribute to business growth.

- Integrate and analyze data such as customer attributes, purchase history, and web behavior logs to extract insights.
- Evaluate the effectiveness of marketing initiatives (campaigns and promotions) and analyze behavioral characteristics by user segment.
- Design, build, and automate dashboards using BI tools such as Tableau/DOMO, and develop KPI monitoring infrastructure.
- Provide support for ad-hoc data extraction and hypothesis verification.
- Organize analytical results structurally as a story and implement proposals and reporting through materials and presentations.

Additionally, you may be responsible for data consulting services to other departments as needed.

Work Environment

Our organization is a compact team of several dedicated members, mainly in their 20s and 30s. Because we are a small and elite team, each individual has a great deal of discretion and influence, and you can take on challenges in a fast-paced environment.

Mandatory Qualifications:

- Approximately 5 years of practical experience in data extraction, processing, and aggregation using SQL.
- Practical experience in designing and building dashboards using BI tools such as Tableau, DOMO, and Looker.
- Practical experience in the design and evaluation of customer analysis, campaign analysis, and purchasing behavior analysis in the marketing field.
- Experience in independently designing hypotheses, structuring, and designing analyses to solve business challenges.
- Experience in structuring analytical results as a story and presenting them in materials and presentations.
- Experience in collaborating with diverse stakeholders and providing proposals and decision-making support based on quantitative insights.
- Basic understanding of IT/data infrastructure (DWH, ETL, data structure, etc.).

Desired Qualifications:

- Experience in large-scale data processing using Big Query.
- Practical experience in data analysis, visualization, and machine learning using Python or R.
- Practical experience utilizing basic statistical knowledge (mean, variance, population/sample, hypothesis testing, etc.).
- Knowledge and implementation experience of statistical models (logistic regression, clustering, factor analysis, etc.).
- Experience in connecting hypothesis design and analysis flow to decision-making support.
- Experience in promoting projects using analytical results.
- Experience in promoting the use of dashboards and supporting data utilization in user departments (data literacy education, briefings, etc.).

Others Information:

Additional information on Location

Futakotamagawa

Additional information on English Qualification

TOEIC Score exceeding 800 (or similar level of English ability) or a University Degree earned in an English-speaking country.

Proof of qualification is required by the time of the job offer. 
If no evidence is available to prove the qualifications denoted above, taking an IP test, organized by Rakuten, during selection process is required.

#business #datascientist #commerce 

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