Analista de Dados Sênior - CRM PME

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Analista de Dados Sênior - CRM PME based in Brazil. This role sits at the intersection of data analytics, CRM strategy, customer behavior, and business growth. You will transform complex customer and campaign data into actionable insights that improve engagement, conversion, retention, and customer value. A key focus will be connecting existing Next Best Offer and Next Best Action intelligence with practical CRM initiatives, campaigns, journeys, and communication strategies. You will work closely with CRM, Marketing, Sales, Product, Data Science, Analytics, Channels, and Technology teams. The position combines advanced analytical work with strategic business partnership and stakeholder influence. You will help strengthen experimentation, personalization, and data-driven decision-making across the SME customer lifecycle. Accountabilities: • Support the evolution of the SME CRM strategy through customer data, behavioral insights, lifecycle analysis, campaign performance, and business opportunity identification. • Connect customer analytics to acquisition, activation, engagement, retention, reactivation, cross-sell, upsell, churn reduction, and customer value initiatives. • Identify opportunities to personalize communications, offers, and customer journeys based on profile, segment, channel, product, behavior, lifecycle stage, and relationship context. • Translate complex analyses into clear, practical recommendations for CRM, Marketing, Sales, Product, and other business stakeholders. • Define and analyze audiences, journeys, hypotheses, messages, channels, and contact moments using evidence and customer data. • Act as an analytical reference for SME CRM decisions, improving the quality of hypotheses, performance analysis, and data-driven practices. • Partner with the Data Science team responsible for NBO/NBA models, interpreting model outputs and translating recommendations into actionable CRM opportunities. • Develop hypotheses for applying NBO/NBA intelligence to campaigns, customer journeys, communication rules, digital channels, and commercial actions. • Design and support A/B tests, controlled experiments, pilots, and incremental impact analyses to measure the effectiveness of CRM initiatives. • Monitor the performance of actions informed by NBO/NBA, evaluating engagement, conversion, revenue, offer acceptance, product adoption, retention, cross-sell, upsell, and incremental impact. • Identify response patterns across customer segments, products, channels, journey stages, and recommendation types to support continuous optimization. • Work with Data Science teams to incorporate campaign results, customer responses, and operational learnings into the evolution of analytical models. • Lead analyses involving customer bases, cohorts, funnels, journeys, channels, products, clusters, propensity, and campaign performance. • Build and maintain dashboards, executive reports, recurring analyses, audience segmentations, eligibility rules, and prioritization criteria. • Ensure the reliability, clarity, and actionability of CRM metrics and analytical outputs. • Work with multiple data sources to develop an integrated view of customer relationships, interactions, product usage, commercial history, and channel engagement. • Identify data gaps, inconsistencies, automation opportunities, and process improvements within CRM analytics. • Support the optimization of contact frequency, communication overlap, customer experience, and relevance across CRM interactions. • Measure the impact of campaigns, journeys, offers, and communications against metrics such as conversion, revenue, engagement, retention, churn, product penetration, LTV, and customer value. • Create clear analytical narratives that turn complex findings into business recommendations and actionable next steps. • Document and share learnings around what works, for which audiences, through which channels, at which stages of the customer journey, and with which recommendations. Requirements • Solid professional experience in data analytics, CRM analytics, marketing analytics, customer intelligence, lifecycle analytics, or related fields. • Advanced SQL skills for data extraction, transformation, analytical modeling, and analysis of large datasets. • Advanced proficiency in Excel or Google Sheets. • Experience with business intelligence and data visualization tools such as Power BI, Tableau, Looker, or similar platforms. • Strong knowledge of lifecycle, cohort, funnel, segmentation, clustering, behavioral, propensity, and campaign performance analysis. • Strong understanding of CRM and digital marketing metrics, including retention, churn, LTV, conversion, engagement, product penetration, frequency of use, and incremental impact. • Familiarity with NBO/NBA, propensity models, offer recommendation, audience prioritization, and personalized customer journeys. • Experience translating analytical or predictive model outputs into actionable communication, segmentation, and customer relationship strategies. • Experience with A/B testing, control groups, impact measurement, basic statistical analysis, and experimentation methodologies. • Experience with CRM, marketing automation, or MarTech platforms such as Salesforce, Adobe Campaign, Braze, Oracle, RD Station, or similar tools. • Knowledge of Python, R, or other programming languages for data analysis is a plus. • Experience with Customer Data Platforms, CRM data marts, predictive models, recommendation engines, or integrations between data and activation channels is desirable. • Experience with B2B CRM, SME customers, financial services, credit, data services, marketing services, or digital products is a plus. • Experience with cross-sell, upsell, portfolio penetration, customer base expansion, and customer monetization strategies is