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Sr. Data AnalystFoot Locker • New York, New York, United States
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XX

Sr. Data Analyst

Foot Locker
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Overview Hybrid (3 days in NYC office). This role will transform complex datasets into actionable insights to drive inventory optimization, assortment strategies, and overall business performance.
Foot Locker will not sponsor a new applicant for employment authorization or offer immigration‑related support.
Responsibilities
Lead the design and implementation of complex analytical projects from inception to completion.
Transform and distill high‑complexity, high‑impact business inquiries into innovative analytic solutions, aligning both data teams and business clients on approach.
Mentor and provide guidance to junior analysts, fostering a culture of continuous learning.
Collaborate with IT and data engineering teams to ensure data infrastructure supports analytical needs.
Communicate findings and strategic recommendations to leadership through reports and presentations.
Utilize SQL, Power BI, and other analytical toolsets to support Merchandising, Planning, Allocation & Replenishment teams’ analytical requests.
Conceptualize, build and operationalize data products per business needs and requirements.
Lead a group of Data Analysts, Data Scientists, Data Engineers and BI Engineers.
Act as a liaison between the business and IT for requirements and design.
Research and troubleshoot problems & questions related to deployed analytical solutions.
Maintain knowledge on the latest data technology and best practices.
Maintain knowledge on the latest retail trends in the industry.
Perform other related duties as assigned.
Qualifications
Bachelor’s or Master’s in Computer Science, Statistics, Analytics, Finance, Business, Engineering, or a related field.
4+ years of relevant experience in data analytics.
Advanced proficiency in SQL, Excel, and Power BI; Python is a plus.
Strong analytical skills with the ability to interpret complex data and provide actionable insights.
Experience with AI tools/methodologies, such as prompt engineering, generative AI, NLP, and AI model training is a big plus.
Excellent verbal & written communication with both technical and business teams.
Excellent stakeholder management skills.
Must be highly motivated and able to work both independently and in a team environment.
Learner mindset: able to think both creatively and critically.
Strong project management skills with the ability to handle multiple priorities.
Knowledge of retail concepts and the ability to understand and work with retail data.
Benefits The annual base salary range is $95,000 - $115,000 per year. Salary may be supplemented with short‑term incentives that align with individual and company performance. The total compensation package includes the following:
Employee Discount
Paid Time Off
Medical, Dental, Vision Coverage
401(k) and Roth 401(k)
Life Insurance
Flexible Spending Account
Opportunities for Advancement
Tuition Reimbursement for Qualified Courses
Strong Company Culture
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  • New York, New York, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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