• Job available in 4 locations
  • St. Petersburg, Florida, United States Corporate Office - St. Petersburg 140 Fountain Parkway
  • New York, New York, United States Corporate Office - New York 330 West 34th Street
  • Camp Hill, Pennsylvania, United States Corporate Office - Camp Hill 3543 Simpson Ferry Road
  • United States Flexible Location

Overview

Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you’ve come to the right place.To learn more about the incredible impact we’re making on both our local and global communities,Click Here

Foot Locker is seeking a Senior Data Analyst to join the Analytics Team within Foot Locker’s Information Systems & Technology (IS&T) Department. You will be responsible for data analytics, within an agile analytics team, to improve customer experience and inform business strategy.

Responsibilities

• Transform and distill high complexity/high impact business inquiries into innovative analytic solutions, aligning both data teams and business clients on approach.
• Make yourself available to provide technical and constructive feedback to analytics performed by peers.
• Deliver key findings to members of the business through presentations and direct engagement that result in actions and improved decision making
• Measure, report and strategize metrics to support eCommerce, Retail sales, operations and marketing campaign growth opportunities
• Provide ad-hoc behavioral web analytics analysis utilizing Adobe Analytics, and SQL, Power BI, and other analytical toolsets to deliver insights and make recommendations for optimizations
• Utilizing SQL, Power BI and other analytical tool sets, support all organizational partners by developing an expert-level understanding of our full suite of analytics. From web and eCommerce analytics to operational analytics that support Supply Chain, Product, Merchandising and varying other operations teams.
• Conceptualize, develop, and execute measurable and actionable onsite optimization tests (A/B/N, MVT, Automated Personalization) across digital properties to increase conversion rates and drive revenue
• Train on how to analyze statistical test results, with R, Python, or comparable mathematical programming languages, and propose appropriate optimizations to achieve revenue/profitability goals
• Research and troubleshoot problems & questions related to deployed analytic solutions
• Maintain knowledge on the latest data technology and best practices
• Perform other related duties as assigned

Qualifications

• Bachelor’s degree in Business, Marketing, Statistics, Finance, Computer Science
• Minimum of 3 years of experience in an analytical role. Preferably in supporting Retail sales
• Knowledge of varying analytical disciplines. Examples include: Retail and Supply Chain operations, conversion optimization concepts and best practices for responsive web, mobile apps and digital marketing campaigns
• Advanced Excel skills and SQL knowledge; Python is a plus but not required
• Excellent written, verbal and communication skills along with an understanding of how to tell a complete story through data. Not just listing numbers and metrics.
• Knowledge of advanced statistics, data manipulation, and research methods
• Ability to perform statistical analysis of A/B/N utilizing Python, R, or other comparable statistical packages preferred
• A functional understanding of HTML, CSS, and Javascript
• Must be able to think both creatively and critically
• Must be highly motivated and be able to work both independently and in a team environment

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