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勤務地 | 東京都 23区, 港区 |
雇用形態 | 正社員 |
給与 | 800万円 ~ 経験考慮の上、応相談 |
Job Description:
■Mission
In order to achieve sustainable growth of our businesses such as point cards, Edy, and Pay, we will develop new solutions for existing businesses and new businesses by combining our customer IDs' purchase data, payment data, and online data with technology.
He will also plan, develop, and operate a style of using data and technology to improve the marketing consulting skills and speed of the Company's employees.
The latter is specifically responsible for the development of analytical systems, predictive models, and other data environments necessary for consulting.
■Department Introduction/Organizational Structure
In order to accomplish its mission, this department often plans new solutions and services while finding synergies not only with Rakuten Payments, but also with other businesses in the group.
Therefore, the department understands the Payment Company's strategy and the Group's strategy, and approaches the three-way solution with the customer at the center, from both the business and data sides.
The team consists of data scientists, data analysts, and business and service planning members. The two groups are the Market Innovation Group, which creates new services for the market, and the Process Innovation Group, which creates tools and environments to increase employee productivity. Each group has a mix of scientists, analysts, and business planners.
■Background of Hiring
We have the assets of data, people, and planning ability. We need people who can create data value in new fields without being bound by conventional successful experiences. We are looking for people who can lead the entire team to success, and who have a good sense of humanity as a result.
Job Description
- Developing new solutions by combining technology with offline purchase data (including SKUs) and payment data associated with member IDs and the Group's online data.
- In addition to data visualization, support business problem solving and strategic planning from the data side by building future forecast models, etc.
職務経験 | 3年以上 |
キャリアレベル | 中途経験者レベル |
英語レベル | ビジネス会話レベル (英語使用比率: 75%程度) |
日本語レベル | ビジネス会話レベル |
最終学歴 | 短大卒: 準学士号 |
現在のビザ | 日本での就労許可が必要です |
■Requirements
- At least 3 years of experience as a data analyst or data scientist (5 years preferred)
└ Must have Python ,BigQuery (SQL) and statistical knowledge
- Strong communication skills and ambition are welcome
- TOEIC score of 800 or above or equivalent within 2 years as main motivation.
■Welcome Requirements
In order to develop services throughout the organization, we would like to focus on the following points during the recruitment selection process.
- Ability to accurately verbalize and document hypotheses and rationales in accordance with the amount of information they have
- The ability to work with positivity in any environment
- The ability to communicate well and give a positive impression to others
- Ability to conduct research and analysis to support hypotheses and evidence
■What kind of career can you build?
The scope of our activities is not limited to data analysis, suggestion, and hypothesis development, but extends to the realization and development of services and businesses.
Message from the Manager
With approximately 100 million IDs and the online and offline data associated with them as assets, there must be solutions that only our company can create. We also have a global data and AI development center. Let's work together to create services that contribute to customer value, client value, and society using big data and AI.
雇用形態 | 正社員 |
給与 | 800万円 ~ 経験考慮の上、応相談 |
勤務時間 | 9: 00-17: 20 60 minutes breaktime |
休日・休暇 | Sat, Sun, national holyday Summer&Winter vacation paid holid etc |
業種 | クイーン カジノ 登録 ボーナスターネット・Webサービス |
会社の種類 | 大手企業 (300名を超える従業員数) |
外国人の割合 | 外国人 半数 |