Hybrid Senior Data Analyst - Customer Insights

Footlocker; New York (NY); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Employee Discount

Paid Time Off

Medical | Dental | Vision Coverage

401(k)

Stock Purchase Plan

Life Insurance

Flexible Spending Account

Opportunities for Advancement

Tuition Reimbursement

Strong Company Culture

Employee Resource Groups

Job summary

Foot Locker is seeking a Senior Data Analyst in New York to transform customer data into actionable insights that guide strategy and decision-making. You’ll lead analyses across purchase, engagement, loyalty, and digital behavior, collaborating with multiple teams and expanding access to trusted analytics.

You will build executive dashboards, develop scalable reporting, and translate insights into business value to drive growth and improvement across brands.

Qualifications

• Bachelor’s degree in Business, Marketing, Economics, Statistics, Computer Science, Analytics, or a related field required.
• Minimum of 4 years of experience in customer analytics, business analytics, marketing analytics, or a related analytical role.
• At least 2 years of experience writing advanced SQL queries required.
• At least 2 years of experience working with customer, transaction, loyalty, or digital behavioral data required.
• Experience building dashboards, scorecards, or self‑service reporting in Power BI or a comparable BI platform.
• Hands-on experience with analytics-oriented programming languages such as Python, Scala, or R is preferred.

Responsibilities

• Lead analyses of customer purchase, engagement, demographic, loyalty, channel, product, and digital behavior to identify meaningful trends, opportunities, and risks.
• Partner with Merchandising, Marketing, Media, Finance, Digital, Strategy, and other teams to frame business questions and develop customer-centered analytical approaches.
• Evaluate business and vendor performance from the customer point of view, including who is buying, how behavior is changing, where engagement is strengthening or declining, and what is driving outcomes.
• Develop and maintain customer health reporting, executive dashboards, scorecards, and self-service tools that give leaders consistent access to trusted insights.
• Create vendor and brand insights that help internal partners and external vendors understand customer overlap, acquisition, retention, cross-shopping, channel behavior, category preferences, and growth opportunities.
• Synthesize complex findings into clear executive narratives, identifying what is working, what is not working, the business implications, and recommended actions.
• Conduct deep‑drive and ad hoc analyses to answer priority business questions and uncover emerging customer opportunities.
• Establish clear analytical methodologies, definitions, and documentation to ensure customer insights are consistent, transparent, and reproducible.
• Partner 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 that maintain high standards for data quality, accuracy, and reliability.
• Transform business inquiries into innovative analytical solutions, aligning data teams and business partners on objectives, methodology, outputs, and expected decisions.
• Present customer insights and recommendations through compelling presentations and direct stakeholder engagement that improve decision‑making at both working‑team and executive levels.
• Use SQL, Power BI, Adobe Analytics, and other analytical tools to build an expert understanding of customer behavior across channels (stores and digital), banners, markets, brands, and categories.
• Support customer data integrity investigations, validate fixes, and communicate implications to business stakeholders.
• Keep analytical deliverables, methodologies, and priorities organized and transparent for partners.
• Perform other duties as assigned.

Skills

SQL

Data analysis

Education

Bachelor's degree in Business, Marketing, Economics, Statistics, Computer Science, Analytics, or a related field

Tools

Power BI

Adobe Analytics

Python/Scala/R

Excel

Job description

Foot Locker is seeking a Senior Data Analyst in New York to transform customer data into actionable insights that guide strategy and decision-making. You’ll lead analyses across purchase, engagement, loyalty, and digital behavior, collaborating with multiple teams and expanding access to trusted analytics.

You will build executive dashboards, develop scalable reporting, and translate insights into business value to drive growth and improvement across brands.