Descripción de la oferta
Overview
In this role you will lead the Customer Intelligence strategy to unlock value from customer data across the lifecycle, enabling data-driven decisions that boost retention, engagement and growth in LatAm. You will build advanced analytics capabilities, identify churn drivers and opportunities, and translate insights into actions for sustainable recurring revenue. You’ll join the LatAm Customer Value Management team to shape data governance, dashboards and KPI tracking. This position offers a chance to influence cross-functional initiatives at scale and drive customer-centric transformation.
ResponsabilidadesDefine and execute the Customer Intelligence strategy across the full customer lifecycleDevelop advanced analytics capabilities for retention, loyalty and growth initiativesIdentify customer behavior patterns, churn drivers, risks and opportunities through data analysisLead the development of customer segmentation, predictive models and next-best-action capabilitiesGenerate actionable insights to support strategic and operational decision makingDefine and monitor customer KPIs, dashboards and customer health indicatorsEnsure data quality, governance and consistency of customer-related data and KPIsCollaborate with Data, IT and Business teams to improve data accessibility and Single Source of TruthSupport AI-driven initiatives and advanced analytics solutionsDrive automation and continuous improvement in analytics processesTranslate complex analyses into business-oriented recommendations for senior stakeholdersCollaborate with Marketing, Operations, Sales and Finance to optimize customer value
Requisitos principales7+ years in Customer Analytics/Data Analytics/BI or related advisory rolesBachelor’s degree in Engineering, Mathematics, Statistics, Economics, Business Administration or related fieldsStrong analytical and strategic thinkingDeep understanding of customer lifecycle management and recurring revenue modelsAdvanced knowledge of analytics, segmentation and predictive modelingData-driven mindset with experience turning data into actionsExperience with dashboards, KPIs and customer performance monitoringExposure to AI, machine learning and advanced analytics initiativesSQL and data querying capabilitiesStrong stakeholder management and cross-functional leadershipAbility to simplify complex concepts for non-technical stakeholdersExperience in recurring revenue industries (telecom, SaaS, utilities, insurance or similar) valuedFluent in English and Spanish; Portuguese a plusStrong stakeholder managementCross-functional leadershipProactive problem-solvingCustomer analyticsSegmentationPredictive modeling
