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配送ネットワーク戦略デザインアナリスト / Program Data Analyst, Strategic Transportation Network Design, Corp - JP

配送ネットワーク戦略デザインアナリスト / Program Data Analyst, Strategic Transportation Network Design, Corp - JP

Amazon Japan G.K.Tokyo, JPN
30+ days ago
Job description

SCMネットワークの概念にとらわれず、スピード、コスト、品質を求め変革を続けています。

Projectとして推進し実現していくことがミッションになります。在庫および輸送ネットワークの構築は、入荷から出荷までのサプライチェーン全体を俯瞰的にとらえる必要があるだけでなく、どの地域に、どのような品揃えを、どのような配送方法・配送スピードでお届けできるかが決まるキーになるため、サプライチェーン事業部のみの留まらず、販売事業部やその他の幅広い領域の担当者との連携が必要になります。

Projectの構想段階から実行時、導入後の効果検証まで通してデータ分析による的確な判断によってProjectの成功に貢献します。各Projectには、システムの新規導入や改修を伴うことが多く、そのログデータ分析によるパフォーマンス最適化も重要な役割となります。また、国内外の他部署の分析担当者と情報交換をしながら、様々な指標の比較、分析をすることで新たなビジネスアイディアを発案していくことも有益であり、その窓口としての役割を果たしてもらいます。以下に詳細を記します。

Global Teamとの連携、日本へのシステム導入

Amazon's mission is "to become the Earth’s most customer-centric company." To achieve this, we invest in expanding a high-quality supply chain network. Specifically, we make full use of technology and continue to innovate in speed, cost, and quality, breaking free from traditional Supply Chain Management (SCM) concepts.

In Amazon Japan’s Supply Chain division, we are looking for members responsible for developing this network.

The mission of this position is to implement and execute projects, particularly those related to building Amazon's inventory and transportation network across Japan. Since these network influences upstream processes like procurement and inbound logistics, as well as downstream processes such as shipping and delivery; thus, a holistic understanding of the entire supply chain is required. Also because these network performance is the key input for Amazon which decides what kind of selections we can offer in which areas and how fast or how convenient, you will be expected to collaborate with broader stakeholders outside of SCM department.

  • 1) Data Analysis;

During the project conception stage, you will primarily conduct data analysis. You will be responsible for understanding Amazon's complex supply chain and effectively handling vast amounts of data, requiring advanced comprehension and logical thinking skills. If the initial analyses do not yield results, you will be expected to alter your hypotheses and viewpoints, independently drive the hypothesis-testing cycle, and make proposals to the business initiators. Specifically, you will analyze the impacts of changes in procurement / ordering methods and inter-warehouse transportation on inventory placement, as well as the impacts of inventory placement changes on delivery, from both cost and speed perspectives. The analysis results need to be summarized in documents so that all stakeholders with different background can understand the outcome.

Also, in any supply chain transformation initiative at Amazon, system changes will undoubtedly be required. The scope of the systems involved is broad, and system owners may often be based overseas. You will coordinate with system owners to understand the data structure. You will define the relevant metrics to make sure the system changes is going well, also the process to trigger some corrective actions or tunings. You will retrieve necessary data and report them in a timely manner to contribute to maximize the performance.

  • 3) Collaboration with Global Team, System Implementation in Japan;
  • Most system development in Amazon worldwide are often centralized in the US, and the systems used in Japan generally fall under this category. New systems are usually launched for Amazon US and subsequently rolled out to Amazon locations globally, including Japan. When implementing new systems in Japan, you will work with analytics team in the US or other countries to introduce the worldwide best practice in Japan. Also with considering Japan-specific business contexts, you will compare the various metrics and performance among countries to find the untapped opportunity, and propose them as a new business idea.

    A day in the life

    8時間 / 日となりますが、業務時間帯はマネージャーと相談の上、業務および個人の都合に応じて変更が可能となる場合があります。例えば、個人の事情で日中の勤務が難しい場合は他時間帯に振り分ける等、ワークライフハーモニーを重視した働き方が可能です。

    About the team

    Amazon は多様かつインクルーシブな職場づくりを目指しています。Amazonは男女雇用機会均等法を順守しています。人種、 出身国、性別、性的指向、障がい、年齢、その他の属性によって差別することなく、平等に採用選考の機会を提供しています。障がいをお持ちの方は、以下をご覧ください。

    BASIC QUALIFICATIONS

  • 3年以上のSQLやExcelを使用したデータ抽出、分析、機械学習などに纏わる経験
  • Tableau、Quicksight、Power BIなどのBI Toolを用いたデータ可視化の経験
  • 2年以上のシステムに纏わる経験(システム開発、システムエンジニア、テクニカルコンサルタント等)
  • ITサービス業界等でのデータ分析、またはデータに基づく業務改善やプロジェクトマネジメント経験
  • Business-level Japanese : Capable of creating and interpreting business documents, as well as conducting meetings.
  • Business-level English : Capable of creating and interpreting business documents, as well as conducting meetings.
  • 3+ years of working experience of information retrieval, data science and machine learning using SQL and Excel.
  • Experience with data visualization using BI tools (e.g. Tableau, QuickSight, Power BI).
  • Over 2 Years of Systems-Related Experience : Experience relating to systems for at least two years, such as in system development, system engineering, or technical consulting.
  • Experience in Data Analysis or Project Management : Experience in data analysis or data-driven business improvement and project management in industries like manufacturing, retail, distribution, or IT services.
  • PREFERRED QUALIFICATIONS

  • EC2、DynamoDB、S3、RedshiftなどのAWSソリューションの使用経験
  • Python, VBAのエクセルでの活用 ・仮説検証に基づいて改善を企画,実行した経験
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience managing, analyzing and communicating results to senior leadership
  • Utilization of Python and VBA in Excel : Proficiency in leveraging Python and VBA within Excel. Experience in Hypothesis-Driven Improvement : Experience in planning and executing improvements based on hypothesis testing.
  • Knowledge of Statistics : Familiarity with statistical concepts like standard deviation, normal distribution, etc.
  • Positive Attitude Towards Inclusive Culture and Diversity : Open to contributing to an inclusive culture and working in a diverse group.
  • Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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