Sr. Analyst, Customer Analytics

Job DescriptionWe are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.\nSenior Analyst, Customer Analytics\n \nReady to build what’s next with one of the world’s most iconic brands?\n \nWhy Join Subway?\n \nAt Subway, we are not standing still. We are building.\n \nThis is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.\n \nYou will not just do the work. You will shape it.\n \nWe move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.\n \nIf you bring energy, accountability and a bias for action, you will fit right in.\nWe take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.\nThis is your chance to be part of what’s next.\n \nAbout the Role:\nThe Senior Analyst, Customer Analytics drives customer and loyalty analytics across Subway’s digital ecosystem. Partnering with product, marketing, loyalty, IT, and analytics, this role turns guest behavior, loyalty performance, and campaign outcomes into insights that lift acquisition, engagement, conversion, retention, and revenue.You will analyze behavior across digital touchpoints, measure loyalty and CRM effectiveness, build audience segments, and map KPIs across the customer journey. Strong SQL skills and experience with modern cloud platforms (Redshift, Snowflake, Databricks) and BI tools (Tableau, Power BI) are essential. This is a high-visibility, cross-functional role with regular exposure to VP- and executive-level leaders.\n \nResponsibilities include but not limited to:\n \nCustomer and Loyalty Analytics\n\nAnalyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value.\nMeasure loyalty program performance: member growth, frequency, redemption, retention, and incremental impact.\nSurface opportunities to improve conversion, repeat purchase, basket size, and engagement across digital touchpoints.\nBuild segment-level insights to power targeted marketing, product, and loyalty strategies. Partner with CRM analytics to ensure strategic alignment.\nRun cohort, lifecycle, and behavioral segmentation analyses to identify key drivers of guest behavior.\n\nCampaign, Offer, and Audience Measurement\n\nMeasure campaign, journey, and offer performance across owned and paid channels.\nIdentify high-value segments, engagement triggers, and personalization opportunities.\nEvaluate offer mechanics, loyalty incentives, and promotional constructs.\nPartner with loyalty and marketing on campaign effectiveness, reach, and downstream business impact.\nOperationalize an audience-driven analytics agenda spanning messaging, segmentation, personalization, and CX.\n\nKPI Mapping and Insight Generation\n\nBuild and refine KPI frameworks linking customer behavior to business outcomes across the guest journey.\nDocument customer, loyalty, product, and campaign KPIs for consistency, transparency, and actionability.\nTranslate complex datasets into clear narratives for product, marketing, loyalty, and leadership audiences.\nDeliver dashboards, recurring reports, and executive-ready insights.\nSupport business cases, opportunity sizing, and impact modeling tied to customer and loyalty initiatives.\n\nData, Tools, and Technical Execution\n\nWrite complex SQL to extract, join, validate, and analyze customer and behavioral data.\nWork across clickstream, profile, loyalty, campaign, transaction, and audience datasets.\nBuild scalable reporting in Tableau and Power BI.\nUse Adobe Experience Platform (RTCDP, AJO, CJA) for audience, journey, and cross-channel insight generation.\nPartner with engineering and data teams on data quality, event mapping, and measurement design.\nApply LLMs and AI-enabled workflows to speed insight generation, documentation, taxonomy, and KPI mapping.\n\nCross-Functional Partnership and Influence\n\nEmbed customer insights into product roadmaps, campaigns, and experience decisions.\nPresent findings and recommendations to senior stakeholders, including VP and executive audiences.\nShift customer analytics from reactive reporting to proactive, decision-driving insight.\nFoster a culture of analytical rigor, experimentation, and business-minded storytelling.\n\n \nQualifications (some examples listed below):\n \nRequired\n\nBachelor’s degree in analytics, statistics, economics, marketing, business, computer science, or a related field.\n5–7 years in customer, loyalty, CRM, or digital analytics.\nStrong SQL with hands-on experience querying large datasets.\nExperience with cloud data platforms such as Redshift, Snowflake, or Databricks.\nProficiency in Tableau and/or Power BI.\nProven work analyzing customer behavior, segmentation, lifecycle, loyalty, and campaign performance.\nSolid grasp of KPI development and customer journey measurement.\nCross-functional experience with product, marketing, loyalty/CRM, and technology teams.\nStrong communicator who translates analysis into business recommendations for senior stakeholders.\n\nPreferred\n\nAdobe Experience Platform (RTCDP, AJO, CJA).\nExperimentation, personalization measurement, and audience-based decisioning.\nCRM, lifecycle marketing, or loyalty program support.\nPython, R, or similar analytical languages.\nAI/LLM tools applied to analysis, workflow efficiency, or knowledge management.\nQSR, retail, ecommerce, or other high-volume transactional environments.\n\n \nWhat Success Looks Like\n\nCustomer and loyalty performance are measured with greater rigor and consistency.\nStakeholders gain clearer visibility into audience behavior, segment opportunity, and campaign impact.\nReporting shifts from backward-looking summaries to forward-looking, actionable insights.\nCustomer analytics becomes a stronger input into roadmap, loyalty, segmentation, and CX decisions.\nLeadership sees a clear link between audience strategy, guest behavior, and business performance.\n\n \nWhat do we offer?\n\nInsurance Plans (Medical, Life)\n\n\nPension/401K/RSP (country specific)\nCompetitive Bonus\nMobility Allowance\nTuition Reimbursement\nCompany Holidays\nVolunteering time\nAnd More…..\n\n \nCompensation: The base pay range for this role is $91,400 - $114,400 annually\nPay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.\nThe Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V