Senior Data Analyst – SME CRM

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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