Senior Data Analyst – SME CRM

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇧🇷 Brésil – Télétravail

⏰ Temps Plein

🟠 Senior

📉 Analyste de Données

👻 Score fantôme 26%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Experian

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1996

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

Experian libère le pouvoir des données pour créer des opportunités pour les consommateurs, les entreprises et la société.\n\nLors des grands moments de la vie - que ce soit pour acheter une maison ou une voiture, envoyer un enfant à l'université, ou faire croître une entreprise de manière exponentielle en la connectant à de nouveaux clients - nous donnons aux consommateurs et à nos clients les moyens de gérer les données en toute confiance afin qu'ils puissent maximiser chaque opportunité.

Description

• Support the evolution of the SME CRM strategy using data, customer behavior, lifecycle insights, campaign performance and business opportunities • Link customer analyses to acquisition, activation, engagement, retention, reactivation, cross-sell, upsell, customer protection and churn mitigation strategies • Identify opportunities to personalize communications, offers and customer journeys • Translate complex analyses into practical recommendations for CRM, Marketing, Sales, Product and other stakeholders • Act as a bridge between SME CRM and Data Science to apply NBO/NBA models in campaigns, journeys, digital channels and commercial initiatives • Interpret NBO/NBA outputs and propose hypotheses, A/B tests, incrementality tests, pilots and controlled experiments • Monitor the performance of NBO/NBA-driven actions and identify response patterns for continuous optimization • Lead analyses of databases, cohorts, funnels, journeys, channels, products, clusters, behavior, propensity and campaign performance • Build and evolve dashboards, executive reports and recurring analytical views • Support the structuring of analytical datasets, segmentations, eligibility rules and prioritization criteria • Work with different data sources to build an integrated view of the customer • Identify inconsistencies, data gaps, automation opportunities and improvements in analytical processes • Define and conduct performance analyses to measure the impact of campaigns, journeys, offers and communications • Design A/B tests, multivariate tests, control groups and incrementality analyses • Turn complex data into diagnostics, recommendations and action plans • Document learnings and support a continuous learning routine

🎯 Exigences

• Strong experience in data analysis, CRM analytics, marketing analytics, customer intelligence, lifecycle analytics or related areas • Advanced SQL skills for extraction, transformation, analytical modeling and joining large volumes of data • Advanced knowledge of Excel or Google Sheets • Experience with BI and data visualization tools such as Power BI, Tableau, Looker or similar • Experience with lifecycle analysis, cohorts, funnels, segmentation, clustering, behavior, propensity and campaign performance • Solid understanding of CRM and digital marketing metrics, retention, churn, LTV, conversion, engagement, usage frequency, product penetration and incrementality • Familiarity with NBO/NBA applications, propensity models, offer recommendation, audience prioritization and journey personalization • Experience translating analytical outputs or predictive models into actionable communication, segmentation and relationship strategies • Experience with A/B testing, control groups, impact measurement, basic statistical literacy and experimentation methodologies • Knowledge of CRM platforms, marketing automation or MarTech such as Salesforce, Adobe Campaign, Braze, Oracle, RD Station or similar • Knowledge of Python, R or other data analysis languages is a plus • Desirable experience with CDPs, CRM datamarts, data-to-channel integrations, predictive models or recommendation engines • Advanced analytical thinking and the ability to structure complex problems • Strategic business perspective and capacity to connect data, customers, products, channels and financial outcomes • Ability to act as a bridge between technical teams and business areas • Strong communication skills to translate analyses, models and recommendations into clear actions • Organized, autonomous, collaborative and results-oriented • Differentiators: experience with B2B CRM, SMEs, financial services, credit, collections, data, marketing services or digital products • Differentiators: experience with NBO/NBA, advanced personalization, lifecycle marketing, Salesforce, CDPs, automation tools and integrating analytical models with activation channels

🏖️ Avantages

• Remote work allowed • Equal opportunity employer and affirmative action • People-centered, inclusive and purpose-driven culture • Development opportunities within a global data and technology company