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 offers the opportunity to transform customer data into strategic insights that drive smarter CRM decisions and business growth.
You will work at the intersection of analytics, customer behavior, marketing strategy, and data-driven decision-making.
The position focuses on translating advanced analytical outputs into actionable campaigns, personalized journeys, and measurable customer experiences.
You will collaborate with multidisciplinary teams including CRM, Marketing, Product, Sales, Data Science, Analytics, and Technology.
Your work will directly contribute to improving customer engagement, retention, conversion, product adoption, and revenue generation.
This opportunity is ideal for a senior analytical professional who enjoys solving complex problems and influencing business decisions through data.
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 offers the opportunity to transform customer data into strategic insights that drive smarter CRM decisions and business growth.
You will work at the intersection of analytics, customer behavior, marketing strategy, and data-driven decision-making.
The position focuses on translating advanced analytical outputs into actionable campaigns, personalized journeys, and measurable customer experiences.
You will collaborate with multidisciplinary teams including CRM, Marketing, Product, Sales, Data Science, Analytics, and Technology.
Your work will directly contribute to improving customer engagement, retention, conversion, product adoption, and revenue generation.
This opportunity is ideal for a senior analytical professional who enjoys solving complex problems and influencing business decisions through data.
Accountabilities:
- Support the evolution of CRM strategies through customer analytics, behavioral insights, lifecycle analysis, and campaign performance evaluation.
- Translate customer data and analytical findings into actionable recommendations for CRM, Marketing, Sales, Product, and business stakeholders.
- Act as a bridge between CRM teams and Data Science teams, helping transform NBO/NBA (Next Best Offer and Next Best Action) model outputs into practical campaigns, journeys, and communication strategies.
- Define customer segments, audiences, hypotheses, messaging strategies, channels, and engagement opportunities based on data-driven insights.
- Analyze customer lifecycle metrics, including engagement, conversion, retention, churn, LTV, product adoption, cross-sell, upsell, and campaign effectiveness.
- Conduct customer behavior analyses, cohorts, funnels, segmentation studies, and performance evaluations to identify growth opportunities.
- Develop and maintain dashboards, reports, and analytical views to support CRM decision-making.
- Support the activation of predictive models by proposing experiments, A/B tests, pilots, and measurement frameworks.
- Monitor the performance of CRM initiatives using analytical methodologies and recommend continuous improvements.
- Identify data quality issues, process improvement opportunities, automation possibilities, and opportunities to enhance analytical operations.
- Build analytical narratives that transform complex data into clear recommendations for technical teams and business leaders.
- Contribute to strengthening a data-driven culture by connecting insights, experiments, results, and business actions.
- Solid experience in data analysis, CRM analytics, marketing analytics, customer intelligence, lifecycle analytics, or related areas.
- Advanced SQL skills for data extraction, transformation, analytical modeling, and analysis of large datasets.
- Advanced knowledge of Excel or Google Sheets.
- Experience with BI and data visualization tools such as Power BI, Tableau, Looker, or similar platforms.
- Experience analyzing customer journeys, cohorts, funnels, segmentation, clusters, behavior patterns, propensity models, and campaign performance.
- Strong understanding of CRM and marketing metrics, including retention, churn, LTV, conversion, engagement, product penetration, frequency of use, and incremental impact.
- Familiarity with NBO/NBA concepts, recommendation models, propensity models, audience prioritization, and personalized customer journeys.
- Experience translating analytical outputs or predictive models into communication strategies, segmentation approaches, and customer relationship actions.
- Experience with A/B testing, control groups, experimentation frameworks, impact measurement, and basic statistical analysis.
- Knowledge of CRM platforms, marketing automation tools, or MarTech solutions such as Salesforce, Adobe Campaign, Braze, Oracle, RD Station, or similar.
- Knowledge of Python, R, or other programming languages for data analysis is considered a plus.
- Experience with CDPs, CRM data marts, predictive models, recommendation engines, or data activation processes is a differentiator.
- Strong strategic thinking and ability to connect data insights with business outcomes.
- Excellent communication skills, with the ability to influence stakeholders and explain complex analyses clearly.
- Proactive mindset, curiosity, strong problem-solving skills, and ownership of high-impact initiatives.
- Ability to collaborate across multidisciplinary teams in a fast-paced environment.
- Previous experience with B2B CRM, SME customers, financial services, credit, digital products, data-driven marketing, or related industries.
- Experience implementing Next Best Offer, Next Best Action, recommendation strategies, advanced personalization, or lifecycle marketing initiatives.
- Experience activating analytical models in campaigns, customer journeys, digital channels, or commercial initiatives.
- Experience with Salesforce, CDPs, automation platforms, data platforms, or integrations between analytical models and activation channels.
- Knowledge of portfolio analysis, product penetration, customer expansion, cross-sell, upsell, and customer profitability strategies.
- Opportunity to work on strategic data and CRM initiatives with direct business impact.
- Collaboration with multidisciplinary teams across analytics, technology, marketing, product, and business areas.
- Opportunity to influence customer experience through data-driven personalization and intelligent decision-making.
- Exposure to advanced CRM analytics, predictive models, and customer intelligence initiatives.
- Professional development in a global technology and data-driven environment.
- Inclusive and collaborative workplace culture focused on innovation and continuous learning.
- Opportunities to contribute to meaningful projects that improve customer relationships and business outcomes.
- Supportive environment that values diversity, growth, and career development.
The Senior Data Analyst will play a strategic role in evolving CRM intelligence by connecting customer data, analytical insights, and business objectives. The position requires turning complex analyses and predictive model outputs into practical actions that improve customer relationships and business performance.
Requirements:
The ideal candidate is a senior data professional with strong analytical expertise, business understanding, and the ability to transform customer insights into strategic actions.
Preferred qualifications: