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Nike
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October 17, 2025
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Analyst II, Digital Loss Prevention Analytics NA

New York, NY
Full-time
Onsite
$90K/yr - $177K/yr
Entry, Mid Level
Nike is a leading company in sportswear and equipment, seeking a Business Intelligence Data Analyst to join their Digital Loss Prevention team. This role focuses on utilizing data to identify fraud and enhance operational efficiency, requiring strong analytical skills and the ability to communicate insights effectively.
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Responsibilities

  • Use data to reduce risk from abusive customers and reduce friction and inefficiency throughout Nike Direct to all consumers.
  • Learn and deliver insights and solutions to improve operational efficiency.
  • Provide mentorship and assistance to internal and cross-functional teammates.
  • Take end-to-end ownership of accurate and agile data products/dashboards and work in ambiguity to solve open ended business problems with all available Nike data sets.

Qualification

Required

  • Bachelor’s degree in data science, statistics, math, computer science, business analytics or related field. Will accept any suitable combination of education, experience and training
  • 2+ years of experience synthesizing insights from data
  • Highly Advanced knowledge of SQL and relational databases; experience with concepts such Window Functions, Complex Joins, PIVOT/UNPIVOT, query optimization etc.
  • Strong understanding of data visualization principles and experience in with at least one dashboarding tool (Tableau, Power BI, Looker etc.)
  • Demonstrated ability to build self-serve tools for technical and non-technical stakeholders that answer common questions and/or increase data literacy across the organization
  • Ability to design metrics that help evaluate the health of the business and the success of our team, including any ETL development needed
  • Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven and data-supported way

Preferred

  • Familiarity with Python/R for scripting, predictive and descriptive modelling, and data visualization
  • Experience with Tableau; including optimizing published work in tableau server
  • Familiarity with data warehousing tools Databricks and/or Snowflake
  • Experience in Fraud, DLP or digital commerce analytics
  • Background with analytics tools (Spark, Git, Jupyter) and cloud computing platforms (AWS preferred)

Benefit

Nike is a retail brand that provides the sale of apparel, footwear, sports equipment, and accessory products.
Glassdoor
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Founded in 1964
Beaverton, Oregon, USA
10001+ employees
http://www.nike.com