NIKE, Inc.チームの 一員になる

NIKE, Inc.の仕事は、世界トップクラスのアスリートたちにウェアやシューズを提供することだけではありません。ここは自分の潜在力を探求し、限界を取り払って、可能性を大きく広げることができる職場です。Nikeが求めているのは、意欲を持って成長し、自分の頭で考え、夢を思い描き、新しく創造できる人材。多様性を武器に創意工夫を奨励することで、企業文化を発展させています。Nikeブランドは、成功に向かって努力を続ける人や、チームを率いるリーダーや、大きな目標を思い描ける人材を求めています。常に進化し続ける仕事にはやりがいがあり、NIKE, Inc.では従業員一人ひとりが各々のスキルと情熱を日々の業務に注いでいます。

WHO WE ARE LOOKING FOR 

We’re looking for a Senior Product Analyst to join our Nike Enterprise Data & AI team to work within our squads to develop and deliver data, analytical and AI/ML products that help Nike bring inspiration and innovation to every athlete* in the world. We own the products we build and support. 

 

In this role, you will leverage your expertise in retail supply chain to develop and implement data-driven solutions that optimize Nike's end-to-end supply chain operations. You will analyze inventory management processes, demand forecasting models, and order fulfillment systems to identify opportunities for improvement and efficiency gains. Working closely with business partners and engineering teams, you will translate complex supply chain challenges into actionable analytical insights that drive better decision-making and operational excellence. 
 
Your ability to navigate and create clarity within Nike's complex ecosystem of data sources, systems, and stakeholders will be crucial in delivering solutions that drive meaningful business impact and enable informed decision-making across the supply chain. 
 

WHAT YOU WILL WORK ON 

If this is you, you will be working on technical solutions that serve other engineering, data, or business facing teams. Our technical solutions serve the end-to-end breadth of Nike, from building foundational data capabilities, creating analytical products to help the Nike business make better decisions to optimizing our supply chain enabling our business to run as efficiently as possible. 

We run agile squads where transparency and trust are key, and collectively bring a culture of engineering excellence and continuous improvement to the organization.  
 

As a Senior Product Analyst, applying your domain knowledge you will be tasked with understanding data analysis and integration requirements to guide solution design and architecture to meet these needs.  You will support product teams in their product decisions using quantitative data to inform the next steps. You will coach and mentor same role junior colleagues. 
 

WHO YOU WILL WORK WITH 

As part agile scrum team, working with the Product Manager, Scrum Lead and other team members that drive to deliver innovative data solutions. Advising product and business owners on specific technology-related aspects required to deliver solutions correctly.  

You will partner with the Product Manager to envision future use cases for our products and assist in the roadmap to fulfill those use cases. Working with your business partners to understand requirements for data use, analysis, and quality, you will help translate this into a product backlog for your squad. 
 

Working with Engineers and other Product Analysts within your squad and cross domain squads, you will identify and aggregate data from internal and external sources, perform data mining and modelling, and identify patterns and trends in data sets. A strong relationship with Data Governance will to ensure data stewardship and quality for your products. 

You will be reporting into engineering leadership, who will guide you to grow and build your career path. 
 

WHAT YOU BRING 

  • Proven track record in Product Analytics role within a professional environment turning data into insights

  • Experience in Requirement Gathering with business as well as technical stakeholders  

  • Experience with Data Modelling/Data Architectures (e.g. creating Source-To-Target Mappings) is preferred 

  • Perform functional analysis for defining technical requirements for engineering team   
  • Strong analytical and communication skills with the ability to convey technical concepts in plain language 

  • Experience in working with SQL , NoSQL and RDBMS with Enterprise or Big Data 

  • Knowledge of data warehouse architectures and best practices 

  • Experience with Visualization tools such as Cognos, Tableau  

  • Experience in writing and maintaining User & Technical Documentation (e.g. in Confluence) 

  • Ability to solve complex problems and take a new perspective on existing solutions is preferred 

This job will expire on the 31st of January

Unfortunately, there's no relocation provided for this role

今後の予定

私たちの採用プロセス

01 応募

私たちのチームは、多様なスキルセット、知識、意見、アイデア、バックグラウンドを持つメンバーで構成されています。 職務内容、部門、チームを確認して、自分に合った役割を見つけましょう。

02 採用担当者に会う、または評価を受ける

コーポレートの職務を選んだ場合、面接プロセスを開始するために採用担当者が連絡を取り、面接が終了するまでの間、あなたの主な窓口となります。 リテール職の場合は、チャットとクイズを含む対話型の評価を行うことになります。所要時間は約10~20分です。 職務に関わらず、私たちは皆さんの人となりを知りたいと思っています。世界トップクラスのサービスに対する考え方や、あなたの独自性について遠慮なく話してください。

03 面接

Nikeについて調べ、Nikeが何を求めているのかを理解し、あなたの人となりや経歴について詳しく知るために設定された質問に答えられるよう準備し、自信を持ってこのステージに臨んでください。

屋外で笑顔で抱き合う 2 人