Manager, Customer Intelligence & Analysis

Foot Locker EMEA

New York (NY)

On-site

USD 90,000 - 95,000

Full time

3 days ago

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Benefits offered by this job

Employee Discount

Healthcare

401(k)

Stock Purchase Plan

Tuition Reimbursement

Strong Company Culture

Job summary

Foot Locker is seeking a data‑driven analytics professional to illuminate customer journeys and loyalty program performance. You will own ROI analysis, forecast planning, and reporting to inform strategy across Foot Locker brands.

You’ll build dashboards and scale forecasting models, partnering with finance, marketing, and product teams to optimize acquisition, retention, and lifetime value.

Qualifications

Bachelor’s degree in Business, Analytics, Economics or related quantitative field.
4–6+ years in business intelligence or marketing analytics.
Experience in retail/eCommerce and loyalty programs is preferred.
SQL proficiency and Excel/Google Sheets fluency.
Experience with BI tools (Tableau/Looker/Power BI).
Familiarity with CRM, loyalty data, and data warehouses.

Responsibilities

Analyze customer behavior and journeys to uncover trends and opportunities.
Own program ROI analysis, budgeting, and forecasting for loyalty.
Build simple, scannable reports for leadership from a consumer lens.
Translate complex data into clear, actionable insights.
Develop forecasting models for campaigns and loyalty performance.
Identify opportunities to evolve analytical capabilities as data matures.
Collaborate with cross‑functional teams to improve acquisition and retention.

Skills

SQL

Excel/Sheets

Tableau/Power BI

CRM/Lifecycle

Loyalty Analytics

GA4/App Analytics

Python/R

Snowflake/BigQuery

A/B Testing

Multi-Channel Analytics

Data Visualization

Education

Bachelor’s degree in Business/Analytics

Tools

Tableau

Looker

Power BI

CRM platforms

GA4

Job description

Overview

Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression.

As part of the DICK’S Sporting Goods family, you’re backed by the resources, reach, and career opportunities of a world-class sports company. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We’re looking for great people who want to influence culture and the generation that is shaping what’s next.

Whether you’re building strategy, shaping innovations, or creating unforgettable customer moments, you’ll contribute to decisions and experiences that define our brands’ impact in the communities we serve.

Responsibilities

Key Responsibilities

Customer & Business Insights

Analyze customer behavior across their entire journey to identify trends and opportunities
Develop customer segmentation and lifecycle analyses across acquisition, frequency, retention, churn, reactivation, and lifetime value
Analyze Foot Locker Inc. loyalty engagement, enrollment, redemption behavior, offers, and customer purchase patterns
Identify meaningful differences across customer segments, loyalty tiers, banners, markets, stores, channels, product categories, and shopping occasions
Conduct basket, product, brand, and purchase behavior analysis to identify opportunities to increase frequency, average order value, attachment, retention, and customer lifetime value
Proactively surface business trends, risks, and opportunities rather than waiting for teams to request analysis

Loyalty Program & Customer Engagement Analysis

Serve as the primary insights and analysis partner for Customer Insights and Loyalty, helping teams understand customer behavior, member engagement, and program performance
Own program ROI analysis, budget planning, forecasting, and investment decisions
Partner with Finance on accounting, forecasting and program P&L impacts
Track and analyze performance across loyalty enrollment, engagement, offers, rewards, member communications, promotions, CRM, and lifecycle journeys
Create and maintain reporting for key metrics including CAC, ROAS, LTV, conversion, retention, frequency, engagement, promotional lift, and incremental revenue
Evaluate promotional and offer performance, including redemption, incremental sales, customer behavior, and profitability
Analyze test results and translate outcomes into clear recommendations and next steps
Maintain learnings from prior tests so teams can build on what has already been proven

Customer Journey, Reporting & Customer Intelligence

Analyze customer journeys and purchase funnels to identify opportunities to improve acquisition, conversion, retention, loyalty engagement, basket size, and repeat purchase
Build simple, scannable reporting that allows teams and senior leadership to quickly understand performance from a consumer lens
Automate recurring reporting wherever possible so more time can be spent generating insights rather than pulling numbers
Translate complex datasets into clear, concise recommendations for both technical and non-technical audiences
Support recurring business reviews with clear analysis of what is driving performance
Develop forecasting models to support campaign planning, customer engagement, loyalty performance, and budgeting
Build cohort and customer value analyses to better understand retention and long-term customer behavior
Identify opportunities to evolve Foot Locker Inc.’s analytical capabilities as the business and data ecosystem mature

Qualifications

At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines:

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

We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.

Qualifications & Experience

Bachelor’s degree in Business, Analytics, Economics, Statistics, Data Science, Marketing Analytics, or a related quantitative field
4–6+ years of experience in business intelligence, customer analytics, marketing analytics, growth analytics, or a related data-driven role
Experience in retail, footwear, apparel, eCommerce, loyalty, or another high-volume consumer business is strongly preferred
Advanced SQL skills and strong proficiency in Excel or Google Sheets
Strong experience with BI and visualization platforms such as Tableau, Looker, or Power BI
Hands‑on experience with CRM/lifecycle platforms, loyalty data, customer data platforms, BI tools, and digital measurement inputs such as GA4 or app analytics
Experience analyzing customer segmentation, retention, LTV, attribution, campaign performance, and lifecycle behavior
Strong understanding of multi-channel marketing measurement
Experience designing and evaluating A/B tests or controlled experiments
Familiarity with modern data warehouses such as Snowflake or BigQuery
Familiarity with Python, R, or advanced statistical modeling is a plus
Proven ability to turn complex data into clear, actionable insights for non-technical audiences

What You Bring

You are naturally curious and want to understand why the numbers are moving, not just report that they moved
You are highly analytical but commercially minded — you understand that the goal is better business decisions, not more dashboards
You are comfortable getting hands‑on with data and digging into the details yourself
You can translate complicated analyses into simple, compelling stories
You proactively surface insights, risks, and opportunities rather than waiting to be asked
You thrive in a fast‑paced, entrepreneurial environment where priorities can change quickly
You are organized, detail-oriented, and able to manage multiple analytical workstreams at once
You are collaborative, low ego, and enjoy partnering with both creative and highly technical teams
You bring a test‑and‑learn mindset and are always looking for ways to make the business smarter

Benefits

The annual base salary range is $90,000.00-$95,000.00 This range represents the anticipated low and high end of the salary for this position. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below.

Foot Locker Benefits