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。
Data Analytics Manager - NIKE INC.- Beaverton, OR. Participate in the data analysis and design of analytics products within a focused area of the Nike business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals. Serve as a domain specialist on data and business processes within area of focus. Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs. Participate in structured, end-to-end analysis to inform product strategy, data architecture and reporting decisions. Analyze existing datasets and interfaces to understand and document current state data architectures. Contribute to future state data architecture designs by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards. Perform extensive data profiling to understand data behavior and business rules. Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences. Assist in the adoption of data products with end users through user training. Leverage existing frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics. Support standard methodologies in data analysis, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have a Master’s degree in Data Analytics, Computer Science, or Software Engineering and 2 years of experience in the job offered or in an analytics-related occupation.
Experience must include:
Data warehouse
BI Analytics solution design
Agile management systems, such as Jira or Confluence
Agile scrum processes
Dimensional modeling
AWS
Database management systems
SSAS Cubes, Tabular and Cognos Package
Data visualization tools, such as, Tableau, IBM Cognos, and PowerBI
Business process mapping
Apply at www.jobs.nike.com (Job# R-47337)
#LI-DNI
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
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。