楽天がデータアナリストを募集しています。PythonとSQLを活用し、大規模データの分析を通じてビジネスの意思決定を支援します。関連分野の学位と3年以上のデータ分析実務経験が必須です。A/Bテストの設計やダッシュボードの自動化スキルを持つ方を求めています。
AI & Data Division (AIDD) creates powerful, customer-focused search, recommendation, data science, advertising, marketing, price, and inventory optimization solutions to a variety of businesses in commerce, fintech and mobile industries.
Mission of Analytics & Metrics Department (AMD) is to unlock the full potential of our data, transforming it into a strategic asset that generates innovation, drives competitive advantage, and shapes the future of our product.
Our team helps Rakuten Ichiba, Rakuma and other Business Units interpret data to support impactful business decisions. We do this by creating models, dashboards, and data pipelines, and by developing analytical agents. We make a point of using the latest technology and tools to deliver the best results.
Be it providing personalized superior user experience to our customers or making informed business decisions, data plays a vital role underlying all AI-driven initiatives. We are looking for a data analyst to work on collecting, processing, and performing statistical analyses on large datasets to discover useful information, suggest conclusions, and support decision-making. This role provides insights to fuel business growth and enhance customer experience.
While English is our primary language for internal communication, Japanese language skills are highly valued.
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline
- Extensive experience (over 3 years) as a Data Analyst or in a similar analytical role within the Tech (e-commerce is preferred) industry, demonstrating increasing levels of responsibility
- Expert proficiency in statistical analysis tools and programming languages, including Python and SQL
- Proven ability to lead data exploration, analysis, and visualization efforts, with a strong track record of extracting actionable insights from large and complex datasets
- Experience with data cleaning and preparation techniques and familiarity with database management systems. Knowledge of data warehousing concepts is a plus
- Demonstrated ability to work both independently and collaboratively within team
- Effective communication and presentation skills, with the ability to convey complex data insights clearly to diverse audiences, contributing to a data-driven environment within the organization
#engineer #dataanalyst #dataanalytics #AI #aianddatadiv
English (総合 - 3 - 上級)
