Manager, Customer Intelligence & Analysis
Foot Locker · New York, NY · 3 wk ago
Analyst$90k–$95k/yrFull-time
We need to output only HTML fragment, using for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title as heading. We need to include sections only when posting has real specific content. The posting includes Overview (which could be "About the role"), Responsibilities, Qualifications (including Qualifications & Experience and What You Bring), Benefits (including salary range and benefits list). There's no explicit Schedule or Skills separate; but we could combine skills under Qualifications or maybe a Skills section if content exists. The posting mentions skills: Advanced SQL, Excel, BI platforms, CRM/lifecycle platforms, etc. Could be a Skills section. However we must not create sections with filler. We have specific skill details, so we could create a Skills section. But we also have Qualifications section that includes experience and education. The instructions: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can choose which to include. We need to preserve all substantive information. Let's map:
- About the role: Overview paragraph(s) describing role, mission, etc. Use that.
- Responsibilities: list of responsibilities (multiple bullet points). Use
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title as heading. We need to include sections only when posting has real specific content. The posting includes Overview (which could be "About the role"), Responsibilities, Qualifications (including Qualifications & Experience and What You Bring), Benefits (including salary range and benefits list). There's no explicit Schedule or Skills separate; but we could combine skills under Qualifications or maybe a Skills section if content exists. The posting mentions skills: Advanced SQL, Excel, BI platforms, CRM/lifecycle platforms, etc. Could be a Skills section. However we must not create sections with filler. We have specific skill details, so we could create a Skills section. But we also have Qualifications section that includes experience and education. The instructions: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can choose which to include. We need to preserve all substantive information. Let's map:
- About the role: Overview paragraph(s) describing role, mission, etc. Use that.
- Responsibilities: list of responsibilities (multiple bullet points). Use - .
- Qualifications: education, experience, etc. Could be Qualifications heading.
- Skills: maybe separate heading for technical skills (SQL, Excel, Tableau, etc). The posting includes "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", etc. So we can create Skills section.
- Benefits: includes salary range and benefits list. Pay could be separate but we can include Pay under Benefits or separate Pay heading. The instruction: Prefer a few substantive sections over many thin ones. So we could combine Pay and Benefits into one Benefits section that includes salary range and benefits. But we have a separate Pay heading possible. However we have salary range explicitly; we could create a Pay section with that range, and Benefits section with other benefits. But that would be two thin sections. Better to combine into Benefits section that includes both salary and benefits. The instruction says: never create Pay/Schedule/Benefits sections unless the posting actually states them. It does state salary range and benefits, so we can have a Benefits section that includes both. We'll not create separate Pay.
- Schedule: not mentioned, so omit.
- Requirements: maybe not needed if we have Qualifications covering requirements. Could omit Requirements.
Thus sections: About the role, Responsibilities, Qualifications, Skills, Benefits.
We need to ensure we don't repeat job title. Use
for each heading.
We need to use
for prose,
- for lists.
We must preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like EEO, cookie, navigation, legal, etc. The posting includes some boilerplate like "To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools..." That's part of Qualifications? It's more like a note about interview process. Should we include? It's not exactly a qualification but it's a guideline. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The AI tools note is not exactly EEO but could be considered part of hiring process instructions. Might be considered boilerplate? It's about interview process, not job description. Likely we should remove it as it's not substantive job content. Also the line "We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience." Also remove.
Also the line "At Foot Locker, we value innovation, authenticity, and integrity in all that we do." That's part of Qualifications intro; we can keep as it's part of qualifications.
We need to preserve all substantive info: overview paragraphs, responsibilities bullet points, qualifications bullet points, skills bullet points, benefits bullet points.
Let's extract.
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. Come change the game with us. Apply today! This is a highly hands-on role focused on customer intelligence and analysis for Foot Locker Inc. You’ll be responsible for bringing together customer, loyalty, store, digital, marketing, merchandising, and financial data to create clear reporting, identify trends and opportunities, and help teams make smarter decisions faster. The primary support areas for this role will be within the Customer & Media team, with Digital, Merchandising and Data Analytics serving as an important cross-functional partners. We’re looking for someone who loves getting into the data but can also step away from the spreadsheet and clearly answer the most important questions: What happened? Why did it happen? What does it mean for our customers and loyalty members? And what should we do next?"
We can keep that as About the role.
Responsibilities: The posting has a "Responsibilities" heading then bullet points under "Key Responsibilities". It lists several paragraphs each starting with a bold label? Actually the text:
"Responsibilities Key Responsibilities Customer & Business Insights Analyze customer behavior across their entire journey to identify trends and opportunitiesDevelop customer segmentation and lifecycle analyses across acquisition, frequency, retention, churn, reactivation, and lifetime valueAnalyze Foot Locker Inc. loyalty engagement, enrollment, redemption behavior, offers, and customer purchase patternsIdentify meaningful differences across customer segments, loyalty tiers, banners, markets, stores, channels, product categories, and shopping occasionsConduct basket, product, brand, and purchase behavior analysis to identify opportunities to increase frequency, average order value, attachment, retention, and customer lifetime valueProactively 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 performanceOwn program ROI analysis, budget planning, forecasting, and investment decisionsPartner with Finance on accounting, forecasting and program P&L impactsTrack and analyze performance across loyalty enrollment, engagement, offers, rewards, member communications, promotions, CRM, and lifecycle journeysCreate and maintain reporting for key metrics including CAC, ROAS, LTV, conversion, retention, frequency, engagement, promotional lift, and incremental revenueEvaluate promotional and offer performance, including redemption, incremental sales, customer behavior, and profitabilityAnalyze test results and translate outcomes into clear recommendations and next stepsMaintain 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 purchaseBuild simple, scannable reporting that allows teams and senior leadership to quickly understand performance from a consumer lensAutomate recurring reporting wherever possible so more time can be spent generating insights rather than pulling numbersTranslate complex datasets into clear, concise recommendations for both technical and non-technical audiencesSupport recurring business reviews with clear analysis of what is driving performanceDevelop forecasting models to support campaign planning, customer engagement, loyalty performance, and budgetingBuild cohort and customer value analyses to better understand retention and long-term customer behaviorIdentify opportunities to evolve Foot Locker Inc.’s analytical capabilities as the business and data ecosystem mature"
We need to split into sensible bullet points. Each sentence after a label is a responsibility. We'll create
- for each distinct responsibility.
We can break by the capitalized labels: "Customer & Business Insights", "Loyalty Program & Customer Engagement Analysis", "Customer Journey, Reporting & Customer Intelligence". Under each there are multiple actions separated by sentences. We'll split each sentence into its own
- maybe.
But we must preserve all substantive information; we can keep them as separate bullet points.
Let's list responsibilities:
Under 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
Under 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
Under 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
Now Qualifications: The posting has "Qualifications" then a paragraph about valuing innovation etc (we may keep). Then "Qualifications & Experience" bullet list. Then "What You Bring" bullet list.
We need to combine into Qualifications section maybe with sub-sections? But we only have headings allowed: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We could put education/experience under Qualifications, and "What You Bring" under Skills? Or we could treat "What You Bring" as part of Qualifications as well (they are personal attributes). But we also have a separate Skills heading for technical skills. Let's decide:
- Qualifications: education, experience, preferred industry, etc.
- Skills: technical skills (SQL, Excel, BI platforms, CRM/lifecycle platforms, GA4, etc.) plus maybe analytical skills like segmentation, retention, LTV, attribution, A/B tests, data warehouses, Python/R, etc.
- What You Bring: personal traits (curiosity, analytical, commercially minded
for each heading. We need to use
for prose,
- for lists.
We must preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like EEO, cookie, navigation, legal, etc. The posting includes some boilerplate like "To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools..." That's part of Qualifications? It's more like a note about interview process. Should we include? It's not exactly a qualification but it's a guideline. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The AI tools note is not exactly EEO but could be considered part of hiring process instructions. Might be considered boilerplate? It's about interview process, not job description. Likely we should remove it as it's not substantive job content. Also the line "We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience." Also remove.
Also the line "At Foot Locker, we value innovation, authenticity, and integrity in all that we do." That's part of Qualifications intro; we can keep as it's part of qualifications.
We need to preserve all substantive info: overview paragraphs, responsibilities bullet points, qualifications bullet points, skills bullet points, benefits bullet points.
Let's extract.
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. Come change the game with us. Apply today! This is a highly hands-on role focused on customer intelligence and analysis for Foot Locker Inc. You’ll be responsible for bringing together customer, loyalty, store, digital, marketing, merchandising, and financial data to create clear reporting, identify trends and opportunities, and help teams make smarter decisions faster. The primary support areas for this role will be within the Customer & Media team, with Digital, Merchandising and Data Analytics serving as an important cross-functional partners. We’re looking for someone who loves getting into the data but can also step away from the spreadsheet and clearly answer the most important questions: What happened? Why did it happen? What does it mean for our customers and loyalty members? And what should we do next?"
We can keep that as About the role.
Responsibilities: The posting has a "Responsibilities" heading then bullet points under "Key Responsibilities". It lists several paragraphs each starting with a bold label? Actually the text:
"Responsibilities Key Responsibilities Customer & Business Insights Analyze customer behavior across their entire journey to identify trends and opportunitiesDevelop customer segmentation and lifecycle analyses across acquisition, frequency, retention, churn, reactivation, and lifetime valueAnalyze Foot Locker Inc. loyalty engagement, enrollment, redemption behavior, offers, and customer purchase patternsIdentify meaningful differences across customer segments, loyalty tiers, banners, markets, stores, channels, product categories, and shopping occasionsConduct basket, product, brand, and purchase behavior analysis to identify opportunities to increase frequency, average order value, attachment, retention, and customer lifetime valueProactively 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 performanceOwn program ROI analysis, budget planning, forecasting, and investment decisionsPartner with Finance on accounting, forecasting and program P&L impactsTrack and analyze performance across loyalty enrollment, engagement, offers, rewards, member communications, promotions, CRM, and lifecycle journeysCreate and maintain reporting for key metrics including CAC, ROAS, LTV, conversion, retention, frequency, engagement, promotional lift, and incremental revenueEvaluate promotional and offer performance, including redemption, incremental sales, customer behavior, and profitabilityAnalyze test results and translate outcomes into clear recommendations and next stepsMaintain 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 purchaseBuild simple, scannable reporting that allows teams and senior leadership to quickly understand performance from a consumer lensAutomate recurring reporting wherever possible so more time can be spent generating insights rather than pulling numbersTranslate complex datasets into clear, concise recommendations for both technical and non-technical audiencesSupport recurring business reviews with clear analysis of what is driving performanceDevelop forecasting models to support campaign planning, customer engagement, loyalty performance, and budgetingBuild cohort and customer value analyses to better understand retention and long-term customer behaviorIdentify opportunities to evolve Foot Locker Inc.’s analytical capabilities as the business and data ecosystem mature"
We need to split into sensible bullet points. Each sentence after a label is a responsibility. We'll create
- for each distinct responsibility. We can break by the capitalized labels: "Customer & Business Insights", "Loyalty Program & Customer Engagement Analysis", "Customer Journey, Reporting & Customer Intelligence". Under each there are multiple actions separated by sentences. We'll split each sentence into its own
- maybe. But we must preserve all substantive information; we can keep them as separate bullet points. Let's list responsibilities: Under 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 Under 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 Under 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 Now Qualifications: The posting has "Qualifications" then a paragraph about valuing innovation etc (we may keep). Then "Qualifications & Experience" bullet list. Then "What You Bring" bullet list. We need to combine into Qualifications section maybe with sub-sections? But we only have headings allowed: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We could put education/experience under Qualifications, and "What You Bring" under Skills? Or we could treat "What You Bring" as part of Qualifications as well (they are personal attributes). But we also have a separate Skills heading for technical skills. Let's decide: - Qualifications: education, experience, preferred industry, etc. - Skills: technical skills (SQL, Excel, BI platforms, CRM/lifecycle platforms, GA4, etc.) plus maybe analytical skills like segmentation, retention, LTV, attribution, A/B tests, data warehouses, Python/R, etc. - What You Bring: personal traits (curiosity, analytical, commercially minded