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Data Analytics Manager I – Data Product & Reporting

Nike Inc

This is a Contract position in Gales Creek, OR posted August 18, 2021.

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Nike’s Supply Chain team ensures that every year 1.3 billion pieces of footwear, apparel, and equipment arrive at the right destination on time. That’s no easy task! Our sophisticated process involves more than 70 distribution centers, a network of thousands of accounts, and more than 100,000 retail stores around the world. Supply Chain analytics professionals constantly push for ways to make our supply chain faster, more efficient and more responsive to Nike’s always-changing consumer needs.

WHO WE ARE LOOKING FOR

We are filling multiple Data Analytics Manager I roles in the Data Products & Reporting organization within Commercial Analytics.

We are looking for a Data Analytics Manager I to join the Data Products & Reporting team within the larger Commercial Analytics organization. This role will be part of a multi-functional agile squad responsible for maximizing analytics return on investment, driving scalable data architecture, and delivering data products to enhance decision making across Nike’s Global functions. The candidate needs to be a dependable teammate and a self-motivated data evangelist. You are unconventionally curious, especially about how data can be used to optimize business opportunities. You enjoy finding relationships between disparate data sets and clarity in a muddied data environment. You are highly proficient in SQL and are at home in a cloud based big data environment. You understand the value of sound data architecture and enjoy the challenge of profiling new data sets. You have a healthy degree of skepticism and the ability to speak data truth to power. You also know how to rise above the numbers and explain the essential insights to business users, and you instinctively minimize complexity to focus on results. While you rely on data to prove your point, you love to think in an unexpected way and solve problems creatively. You thrive in an entrepreneurial environment, and you are excited by the challenge of building something from the ground up. You understand the big picture and are comfortable working independently towards a goal. You ask good questions, are continually learning as well as finding opportunities to share knowledge with others.

WHAT YOU WILL WORK ON

  • Translate complex business problem statements into analysis requirements and work with internal customers to define data product details based on expressed partner needs.
  • Document systems/analytics solutions to the business, translating complex functionality into business relevant language.
  • Independently support end-to-end analysis to inform product strategy, data architecture and reporting decisions.
  • Drive the solving of complex data problems demonstrating analytical and statistical rigor.
  • Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax.
  • Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences.
  • Validate data integrity within back-end data assets and data products supporting accurate and consistent reporting and analytics.
  • Serve as domain expert on data and business process within area of focus.
  • Drive adoption of and socialize the data products with end users through user training.
  • Support standard methodologies in reporting and analysis: data integrity, unit testing, data quality control, system integration testing, modelling, validation, and documentation.
  • Monitor and solve operational or data issues in the data pipelines.
  • Bachelor’s degree in Business, Statistics, Mathematics, Economics, Technology, Computer Science or other related fields preferred. Will accept suitable combination of education and experience.

WHO YOU WILL WORK WITH

You will work in a product squad model led by a Product Manager and consisting of data analysts, engineers and visualization developers. You will collaborate across our broader organization with business teams as well as other data, analytics and technology functions at Nike.

WHAT YOU BRING

REQUIRED SKILLS

  • 4+ years of experience executing quantitative analysis to drive and validate analytics solution requirements
  • Expert SQL Proficiency
  • Deep experience analyzing large structured and unstructured datasets
  • Solid understanding of various database management systems like Oracle, MySQL, Teradata, Netezza, SQL Server, or DB2
  • Proven ability to document business requirements, processes, and analytics solutions
  • Demonstrated ability to build and document structured analysis to support data architecture or product strategy decisions
  • Proven ability to communicate analysis results and subsequent impact to technical/non-technical audiences in both verbal and written form
  • Working understanding of best design and implementation practices in data
  • Experience translating business objectives and questions into data architecture, critical metrics and reporting
  • Working understanding of best design and implementation practices in data visualization tools such as Tableau, IBM Cognos, MicroStrategy, PowerBI or QlikView
  • Working understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and XP Programming, and how they’re applied in workplace culture

Preferred skills

  • Experience with statistical packages such as PYTHON, R, MATLAB, SPSS, SAS, or Stata
  • Experience with source control tools such as GitHub and related development process
  • Expertise in data warehousing, dimensional modeling and the ability to bring standard methodologies regarding data management, ETL, API integrations, and data governance

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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