Analista de Dados Pleno - CRM PME

J
JobgetherCRM analytics
Based in BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
SQLMicrosoft Power BIOracleSalesforceTableauMicrosoft ExcelGoogle SheetsLooker

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, or Looker.
  • 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.
  • Familiarity with CRM, marketing automation, or MarTech platforms such as Salesforce, Adobe Campaign, Braze, Oracle, or RD Station.
  • 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.
  • Ability to turn analytical findings into practical business recommendations and explain insights to stakeholders with different levels of technical expertise.
  • Nice to have: knowledge of Python, R, or other programming languages used for data analysis.

Responsibilities

  • Analyze SME customer data to identify opportunities across the customer lifecycle, including acquisition, retention, reactivation, cross-selling, upselling, and churn reduction.
  • Translate customer behavior, lifecycle insights, and business opportunities into actionable CRM recommendations.
  • Develop and optimize customer segments, campaign audiences, communication flows, and personalized customer journeys.
  • Define, monitor, and interpret CRM KPIs, including campaign performance, conversion, retention, churn, and customer lifetime value.
  • Build and maintain dashboards, reports, and performance analyses for business stakeholders.
  • Conduct analyses of customer behavior, cohorts, conversion funnels, channels, products, and segments.
  • Support automated, behavior-driven, multichannel customer journeys across email, WhatsApp, phone, push notifications, and in-app messaging.
  • Collaborate with operational, marketing, and technology teams to improve data quality, segmentation, and campaign execution.
  • Design and evaluate A/B tests and, where applicable, incremental impact analyses.
  • Contribute to predictive models, propensity scores, customer clusters, and prioritization rules.
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