Head Of Analytics (Care & Shipping)

RequirementsYou bring deep expertise in analytics, user research, and commercial strategy7+ years of experience in analytics or user research, with proven marketplace experience driving exceptional customer outcomesExcellent analytical skills combined with effective use of qualitative data and user research to deliver actionable insightsComprehensive knowledge of key metrics: NPS, CSAT, Order Cycle Time, Perfect Order Rate, and their strategic driversStrong understanding of how product experience impacts customer care demand and resolutionExperience with customer care automation and AI tools (both customer-facing and internal) to improve operationsExcellent communication and project management skills-you simplify complex concepts for diverse audiencesStrong ability to manage cross?functional teams and collaborate with stakeholders including BPOs and external partnersFamiliarity with BigQuery and advanced data analytics skills(Desirable) Knowledge of data science applications for customer care, such as predictive modeling for volume forecasting(Desirable) Experience in logistics and shipping analytics(Desirable) Proficiency with Customer Care systems such as Intercom and ZendeskWe know that the perfect background for a role doesn’t mean the perfect fit - we encourage you to apply for a role even if you think you may not have all the qualificationsWhat the job involvesWe’re looking for a strategic Head of Analytics (Care & Shipping) to drive data?driven decision?making in our Customer Care and Shipping operationsYou’ll ensure Customer Care is a competitive advantage for Back Market by building trust through exceptional experiences, and that our Shipping operation delivers seamless post?purchase journeysYou’ll unlock actionable insights from marketplace, customer care, and logistics data to drive first?class customer experience and operational efficiencyThis role is perfect if you’re passionate about measuring and improving customer satisfaction while optimizing operational effectivenessIf you thrive on crafting scalable data strategies, influencing decisions through analytics, and sabotaging the notion that great care has to be expensive-you’re in the right placeYou’ll drive analytics strategy across Customer Care and Shipping to elevate satisfaction, reduce costs, and improve delivery experience.Your insights will directly influence BPO performance, AI automation, carrier selection, and product roadmap prioritiesOwn satisfaction metrics across all care channels, diagnosing root causes and delivering actionable insights that improve resolution quality and reduce cost per contactBuild measurement frameworks for AI?powered care tools including agent QA scoring, volume forecasting, and automation ROI evaluationLead shipping analytics strategy: drive OTD improvement, carrier performance monitoring, and fraud detection while optimizing BackShip adoptionPartner with Product and Operations to quantify how product improvements impact care demand, translating findings into roadmap priorities that reduce Contact RateProvide data?driven scorecards for BPO partners and sellers, ensuring they meet Back Market quality standardsDevelop end?to?end shipping economics models connecting logistics KPIs to customer retention and marketplace trustLead and mentor a team of analysts and analytics engineers, cultivating data?informed decision?making across the organizationOwn analytics engineering: build scalable data pipelines in BigQuery and optimize data models for effective AI?enabled analysis#J-*****-Ljbffr

You bring deep expertise in analytics, user research, and commercial strategy 7+ years of experience in analytics or user research, with proven marketplace experience driving exceptional customer outcomes Excellent analytical skills combined with effective use of qualitative data and user research to deliver actionable insights Comprehensive knowledge of key metrics: NPS, CSAT, Order Cycle Time, Perfect Order Rate, and their strategic drivers Strong understanding of how product experience impacts customer care demand and resolution Experience with customer care automation and AI tools (both customer-facing and internal) to improve operations Excellent communication and project management skills-you simplify complex concepts for diverse audiences Strong ability to manage cross?functional teams and collaborate with stakeholders including BPOs and external partners Familiarity with BigQuery and advanced data analytics skills (Desirable) Knowledge of data science applications for customer care, such as predictive modeling for volume forecasting (Desirable) Experience in logistics and shipping analytics (Desirable) Proficiency with Customer Care systems such as Intercom and Zendesk