Analista de Dados Pleno - CRM PME

Accountabilities

• Analyze SME customer data to identify opportunities across acquisition, activation, engagement, retention, reactivation, cross-selling, upselling, and churn reduction.

• Support CRM strategy development by translating customer behavior, lifecycle insights, and business opportunities into actionable recommendations.

• Develop and optimize customer segmentation, campaign audiences, communication flows, and personalized customer journeys based on profile, behavior, engagement, product usage, and lifecycle stage.

• Define, monitor, and interpret CRM KPIs, including delivery rates, opens, clicks, conversions, revenue, retention, churn, reactivation, product penetration, and customer lifetime value (LTV).

• Build, maintain, and enhance dashboards, reports, and performance analyses that provide reliable, clear, and actionable insights for business stakeholders.

• Conduct in-depth analyses of customer behavior, cohorts, conversion funnels, channels, products, and customer segments to identify trends, opportunities, and areas for improvement.

• Support the development of automated, behavior-driven, and multichannel customer journeys across email, WhatsApp, phone, push notifications, in-app messaging, and other communication channels.

• Collaborate with operational, marketing, and technology teams to ensure data quality, accurate segmentation, consistent customer records, and effective campaign execution.

• Integrate and organize data from multiple sources to improve customer visibility, segmentation accuracy, campaign targeting, and performance measurement.

• Design and evaluate A/B tests and, where applicable, incremental impact analyses to measure campaign effectiveness and identify successful strategies.

• Contribute to the development and application of predictive models, propensity scores, customer clusters, and prioritization rules to improve targeting and campaign performance.

• Identify opportunities to enhance data processes, governance, audience selection, campaign prioritization, and reporting practices.

• Communicate complex analytical findings through clear narratives and practical recommendations, helping cross-functional teams make informed decisions and continuously improve CRM performance.

Requirements:

• Previous experience in data analytics, CRM, marketing analytics, customer intelligence, or a related field.

• Strong SQL skills for data extraction, transformation, manipulation, and analysis.

• Advanced proficiency in Excel or Google Sheets.

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

• Ability to develop performance analyses, conversion funnels, cohort studies, customer segmentation, and behavioral analyses.

• Knowledge of CRM and digital marketing metrics, customer lifecycle management, engagement, conversion, retention, churn, and customer lifetime value (LTV).

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

• Understanding of A/B testing, business hypotheses, experimentation methodologies, and impact measurement.

• Strong analytical thinking, investigative skills, attention to detail, and a critical mindset when evaluating data and assumptions.

• Business-oriented thinking and the ability to turn analytical findings into practical recommendations that support measurable results.

• Clear communication skills, including the ability to explain technical analyses and insights to stakeholders with different levels of technical expertise.

• Strong organizational and prioritization skills, with the ability to manage multiple projects and deliver high-quality work in a dynamic environment.

• Proactive, collaborative, and results-oriented approach, with the ability to identify opportunities, risks, inconsistencies, and process improvements.

• Nice to have:Knowledge of Python, R, or other programming languages used for data analysis.

• Nice to have:Familiarity with predictive modeling, clustering, propensity models, recommendation systems, and audience prioritization.

• Nice to have:Experience with B2B CRM, SME customers, digital products, financial services, credit, collections, data solutions, or marketing technology.

• Nice to have:Experience with lifecycle marketing, personalization, next-best-offer strategies, onboarding, customer retention, customer monetization, customer data platforms (CDPs), and communication channel integrations.

• Nice to have:Knowledge of portfolio analysis, product penetration, customer consumption patterns, and cross-selling or upselling opportunities.

• Nice to have:Experience working in target-driven environments focused on revenue, conversion, retention, and operational efficiency.

Benefits:

• An inclusive, people-centered work environment that values diversity, collaboration, and individual contributions.

• Opportunities for professional development, continuous learning, and career growth in a global data and technology environment.

• The opportunity to work with cross-functional teams and contribute to innovative, data-driven business initiatives.

• A culture that encourages innovation, employee well-being, and a healthy balance between professional responsibilities and personal interests.

• Exposure to advanced data technologies, customer intelligence, CRM strategy, and analytics-driven decision-making.