NIKE, Inc. 팀에 함께하세요

NIKE, Inc.는 세계 최고의 운동선수들의 복장을 책임지는 것 그 이상의 역할을 합니다. 나이키는 자신의 잠재력을 탐색하고 경계를 없애며 가능성의 영역을 확장할 수 있는 곳입니다. 나이키는 성장하고, 생각하고, 꿈꾸고, 창조할 수 있는 인재를 찾습니다. 나이키의 문화는 다양성을 포용하고 상상력을 장려하며 더욱 발전해갑니다. 우리 브랜드는 성취자, 리더, 선구자를 찾고 있습니다. NIKE, Inc.에서는 모두가 기술과 열정으로 무장하고 끊임없이 변화하는 치열한 게임에 뛰어듭니다.

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

기대할 수 있는 사항

채용 계획

01 지원

나이키 팀은 다양한 기술과 지식, 의견, 아이디어, 배경을 가진 사람들로 구성되어 있습니다. 직무 소개서와 부서, 팀을 살펴보며 내게 맞는 역할을 찾아보세요. 적합한 직무를 찾을 수 있기를 바랍니다.

02 채용 담당자와의 만남 또는 평가 진행

본사 직무에 선발되면 면접 과정을 시작하고자 채용 담당자가 연락을 드립니다. 해당 과정을 진행하는 동안 이 담당자와 주로 연락하게 됩니다. 리테일 직무의 경우 채팅과 퀴즈 등 양방향 평가가 진행되며, 완료하는 데는 약 10~20분이 소요됩니다. 어떤 직무에 지원하시든, 나이키는 여러분에 관한 모든 정보를 듣고 싶습니다. 그러니 여러분이 어떻게 세계 최고 수준의 서비스를 제공할 것인지, 여러분만의 특별함은 무엇인지 주저하지 말고 보여주시길 바랍니다.

03 면접

이 단계를 자신 있게 시작하기 위해 필요한 정보를 조사하고 나이키가 추구하는 요소를 파악해 보세요. 또 여러분과 여러분의 배경에 관해 자세히 알기 위해 고안된 질문에 답할 준비를 갖추세요.

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