Senior Data Analyst – SME CRM

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Contribute to the advancement of the SME CRM strategy by leveraging data, customer behavior, insights on customer lifecycle, campaign effectiveness, and business prospects.

• Connect customer analyses to strategies for acquisition, activation, engagement, retention, reactivation, cross-selling, upselling, customer protection, and churn reduction.

• Discover opportunities to tailor communications, offers, and customer experiences.

• Convert complex analyses into actionable recommendations for CRM, Marketing, Sales, Product, and other stakeholders.

• Serve as a liaison between SME CRM and Data Science to implement NBO/NBA models in campaigns, customer journeys, digital platforms, and commercial initiatives.

• Analyze NBO/NBA results and suggest hypotheses, A/B tests, incrementality tests, pilots, and controlled experiments.

• Track the performance of NBO/NBA-driven initiatives and recognize response patterns for ongoing optimization.

• Lead investigations into databases, cohorts, funnels, journeys, channels, products, clusters, behaviors, propensities, and campaign performance.

• Develop and enhance dashboards, executive reports, and regular analytical views.

• Assist in structuring analytical datasets, segmentations, eligibility criteria, and prioritization rules.

• Collaborate with various data sources to construct a unified view of the customer.

• Identify discrepancies, data gaps, automation possibilities, and enhancements in analytical procedures.

• Establish and carry out performance analyses to assess the impact of campaigns, journeys, offers, and communications.

• Design A/B tests, multivariate tests, control groups, and incrementality analyses.

• Transform complex data into diagnostics, recommendations, and actionable plans.

• Document insights and foster a continuous learning environment.

⛳️ Requirements

• Extensive experience in data analysis, CRM analytics, marketing analytics, customer intelligence, lifecycle analytics, or related fields.

• Proficient SQL skills for data extraction, transformation, analytical modeling, and managing large data volumes.

• Advanced proficiency in Excel or Google Sheets.

• Experience with BI and data visualization tools such as Power BI, Tableau, Looker, or similar platforms.

• Familiarity with lifecycle analysis, cohorts, funnels, segmentation, clustering, behavior, propensity, and campaign performance metrics.

• Strong understanding of CRM and digital marketing metrics, including retention, churn, LTV, conversion rates, engagement, usage frequency, product penetration, and incrementality.

• Knowledge of NBO/NBA applications, propensity models, offer recommendations, audience prioritization, and journey personalization.

• Experience in translating analytical outputs or predictive models into practical communication, segmentation, and relationship strategies.

• Background in A/B testing, control groups, impact measurement, basic statistical literacy, and experimentation methodologies.

• Familiarity with CRM platforms, marketing automation, or MarTech tools such as Salesforce, Adobe Campaign, Braze, Oracle, RD Station, or similar solutions.

• Knowledge of Python, R, or other data analysis programming languages is advantageous.

• Preferred experience with CDPs, CRM data marts, data-to-channel integrations, predictive models, or recommendation engines.

• Strong analytical thinking and capability to structure complex issues.

• Strategic business insight and the ability to link data, customers, products, channels, and financial results.

• Capacity to bridge technical teams and business units effectively.

• Excellent communication skills to convey analyses, models, and recommendations in a clear and actionable manner.

• Organized, self-motivated, collaborative, and focused on results.

• Differentiators: experience in 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 options available.

• Equal opportunity employer with a commitment to affirmative action.

• People-centered, inclusive, and purpose-driven organizational culture.

• Opportunities for professional development within a global data and technology firm.