Analista de Dados Pleno - CRM PME

BrazilRemoteFull-timemid

Other

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Quick Summary

Key Responsibilities

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates,

Requirements Summary

Previous experience in data analytics, CRM, marketing analytics, customer intelligence, or a related field. Strong SQL skills for data extraction, transformation, manipulation, and analysis.

Technical Tools

Other

In this role, you will strengthen the analytical capabilities of CRM by transforming customer data into actionable insights and measurable business outcomes.
You will help optimize customer journeys, improve segmentation, and personalize communications for small and medium-sized business (SME) customers.
Working closely with CRM, Marketing, Sales, Product, Data, Analytics, and Technology teams, you will support data-driven strategies across the customer lifecycle.
Your analyses will contribute to customer acquisition, activation, engagement, retention, reactivation, and revenue growth.
You will monitor campaign performance, identify behavioral patterns, and uncover opportunities to improve conversion, customer lifetime value, and product adoption.
By combining technical expertise with business acumen, you will help develop smarter campaigns, more effective customer experiences, and a stronger data-driven CRM culture.

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

~2 min read

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.