Sr. Data Analyst

Join Foot Locker on the Customer Analytics team within Global Data & Analytics and help turn complex customer data into insights leaders can act on. This hybrid role in New York supports business strategy, vendor partnerships, and executive decision-making using trusted reporting and analysis across store and digital channels.

What you’ll do

• Lead analyses of customer purchase, engagement, demographics, loyalty, channel, product, and digital behavior to identify trends, opportunities, and risks.
• Partner with Merchandising, Marketing, Media, Finance, Digital, Strategy, and other teams to frame business questions and design customer-centered analytical approaches.
• Assess business and vendor performance from the customer point of view, including who is buying, how behavior is shifting, and what drives outcomes.
• Build and maintain customer health reporting, executive dashboards, scorecards, and self-service tools that provide consistent, trusted insights.
• Create vendor and brand insights covering customer overlap, acquisition, retention, cross-shopping, channel behavior, category preferences, and growth opportunities.
• Synthesize complex results into clear executive narratives that highlight what is working, what is not, and recommended actions.
• Run deep-dive and ad hoc analyses to answer priority questions and uncover emerging customer opportunities.
• Define analytical methodologies, definitions, and documentation to keep insights consistent, transparent, and reproducible.
• Collaborate with Data Engineering and data product teams to expand customer data availability, improve analytical datasets, and address gaps that limit insight generation.
• Implement validation and monitoring processes to maintain data quality, accuracy, and reliability.
• Translate business inquiries into analytical solutions aligned across teams on objectives, methodology, outputs, and expected decisions.
• Present insights and recommendations through direct stakeholder engagement at working-team and executive levels.
• Use SQL, Power BI, Adobe Analytics, and other analytical tools to understand customer behavior across banners, markets, brands, and categories.
• Support customer data integrity investigations by validating fixes and communicating implications to stakeholders.
• Keep deliverables, methodologies, and priorities organized and transparent for partners.
• Perform other duties as assigned.

What you bring

• Bachelor’s degree in Business, Marketing, Economics, Statistics, Computer Science, Analytics, or a related field.
• 4+ years of experience in customer analytics, business analytics, marketing analytics, or a related analytical role.
• 2+ years writing advanced SQL queries.
• 2+ years working with customer, transaction, loyalty, or digital behavioral data (customer data platform experience preferred).
• Ability to translate complex analyses into concise business narratives, actionable recommendations, and executive-ready presentations.
• Experience building dashboards, scorecards, or self-service reporting in Power BI or a comparable BI platform.
• Strong understanding of customer metrics and methods across acquisition, retention, loyalty, segmentation, lifetime value, channel behavior, and performance trends.
• Python, Scala, or R experience preferred.
• Strong Microsoft Excel skills and working knowledge of Adobe Analytics (digital analytics tools).
• Self-motivated, intellectually curious team player with clear communication across technical teams, business partners, vendors, and senior leaders.

Tools you’ll use

SQL, Power BI, Adobe Analytics, Microsoft Excel, Python, Scala, R

Compensation and location

• Annual base salary: $100,000 - $115,000
• Eligible for short term incentives aligned with individual and company performance
• Location: New York, NY (hybrid)
• In-office schedule: Tuesday, Wednesday, and Thursday; Monday and Friday remote
• Office address: 2 Pennsylvania Plaza, New York, New York 10121

Benefits

• Employee Discount
• Paid Time Off
• Medical, Dental, and Vision coverage
• 401(k) and Roth 401(k)
• Stock Purchase Plan
• Life Insurance
• Flexible Spending Account
• Opportunities for Advancement
• Tuition Reimbursement for Qualified Courses
• Strong company culture
• Employee Resource Groups

Interview and assessment policy

• Cameras must be on for all virtual interviews.
• AI tools are strictly prohibited during interviews or assessments.

Annual base salary range: $100,000 - $115,000 / year. Salary will be determined based on education, experience, knowledge, skills, and abilities, internal equity, and alignment with market data.