会社名

楽天グループ株式会社

会社概要

未来を信じ、より良い明日を創っていく。
イノベーションを通じて、人々と社会をエンパワーメントする。私たちは、そんな想いを大切に世界の人々に喜びと楽しさを届けます。
楽天は、E コマース、FinTech、デジタルコンテンツ、通信など、70 を超えるサービスを展開し、世界10 億以上のユーザーに利用されています。
これら様々なサービスを、楽天会員を中心としたメンバーシップを軸に有機的に結び付け、他にはない独自の「楽天エコシステム」を形成しています。ダイバーシティ推進は、楽天にとって最優先の企業戦略のひとつです。従業員の出身は70カ国・地域以上。世界中からユニークで多様な文化的背景や視点を持つ優秀な人材が集まり、イノベーションの原動力になっています。社内カフェテリアにはベジタリアン、ハラル対応のメニューを用意。礼拝所（Prayer room）もあります。
また、仕事と育児の両立支援や、障がい者雇用・活躍促進も積極的に推進。社内のLGBT（※1）当事者やアライ（※2）に対して、情報共有やサポート体制の強化も進めています。誰もが自分らしく力を最大限発揮して働ける。それが楽天のダイバーシティです。

70を超えるサービスを提供し、世界30カ国にサービス展開拠点を持ち、従業員の出身国・地域数は100を超え、オープンポジション制度を活用して多様なキャリアを描くことができる点も魅力です。
フレックスタイム制度、事情に応じたリモートワークの活用が可能です。本社には託児所やフィットネスジム、三食無料で利用可能なカフェテリアが併設されるなど、社員を支える環境が整備されています。

ポジション

1032102　Data Analyst (Lead/Manager Candidate) - Conversational Experiences Department (CXD)

仕事内容

Job Description:
Department Overview
You’ll join a 60-person AI for Customer Service team: engineers, TPMs, data analysts, dialogue designers: responsible for modernizing legacy contact-center tooling and workloads into an agentic Generative AI stack codenamed Raptor. We already power Rakuten Mobile’s pre-sale onboarding and support (“RMAA”) and are building the pipeline for of customer service and engagement experience. Now, we’re moving from a successful V1 into the scale-up phase: expanding to all 70 BUs and leveraging AI to multiply Rakuten’s core capabilities in e-commerce, finance, logistics, digital content, and beyond.
　
Position:
Why We Hire
We are seeking a Data Analyst to establish and lead our data analytics function.
This role is crucial for building a data-driven culture from the ground up, in close partnership with Product Managers.
Currently, we are in a phase of team expansion and capability enhancement, and are recruiting for both leadership candidates and general member positions.
You will be a foundational member of a team dedicated to creating a revolutionary, next-generation customer communication as a service (CCaaS) product. If you thrive in a startup-like environment and are passionate about leveraging data to build impactful first-version (V1) products, this is the perfect opportunity for you.

　
Position Details
- Partner directly with Product Management to deeply understand and quantitatively measure customer pain points, guiding the development of V1 products.
- Design and implement the analytical framework to measure product success, defining key metrics (KPIs) and creating dashboards to monitor product health and user engagement.
- Conduct exploratory data analysis to identify new opportunities, validate hypotheses, and inform the product roadmap with actionable insights.
- Translate complex data and findings into clear, compelling narratives for diverse stakeholders, including product, engineering, and business teams.
- Lead the design and execution of A/B tests and other experiments to optimize product features and user experience.
- Establish and own the data infrastructure, including BI tools (Tableau, Looker, etc.) and data pipelines, to ensure accurate and accessible data for the entire team.
- As the team grows, you will be expected to mentor and manage junior analysts, fostering a culture of analytical rigor and curiosity.

求める経験・スキル

Mandatory Qualifications:
- 5+ years of hands-on experience in data analysis, with a significant portion dedicated to product analytics.
- Fluent in English, with exceptional communication skills to collaborate effectively in a multinational environment.
- Experience in partnering with Product Managers and engineering teams to solve complex business problems.
- Demonstrated ability to translate business questions into analytical plans, and analysis results into business impact.
- Experience in collaborating with diverse stakeholders to provide data-driven insights, support proposals, and aid decision-making.
- Leadership experience or a strong desire to mentor and lead a team.
- Proven experience in data extraction, processing, and aggregation using SQL.
- Expertise in designing, building, and automating dashboards using BI tools such as Tableau, DOMO, or Looker.
　
Desired Qualifications:
- Bachelor’s or Master’s degree in a quantitative field like Computer Science, Engineering, Statistics, or Mathematics.
- Experience processing and analyzing large-scale data using platforms like BigQuery or Databricks.
- Proficiency in data analysis, visualization, and statistical modeling using Python or R.
- Hands-on experience applying statistical methods to A/B testing, experimental design, and user behavior analysis.
- Experience in the CCaaS, communications technology, or AI-driven product space.
- A history of working on V1 products in a fast-paced, agile environment.