Analista de Dados Sênior - CRM PME
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- SQLMicrosoft Power BISalesforceTableauMicrosoft ExcelA/B testingGoogle SheetsLooker
Requirements
- Solid experience in data analysis, CRM analytics, marketing analytics, customer intelligence, or lifecycle analytics.
- Advanced SQL skills for data extraction, transformation, and analysis of large datasets.
- Advanced knowledge of Excel or Google Sheets.
- Experience with BI and data visualization tools such as Power BI, Tableau, or Looker.
- Experience analyzing customer journeys, cohorts, funnels, segmentation, clusters, and propensity models.
- Strong understanding of CRM and marketing metrics, including retention, churn, LTV, and conversion.
- Familiarity with NBO/NBA concepts, recommendation models, and personalized customer journeys.
- Experience translating analytical outputs or predictive models into communication strategies.
- Experience with A/B testing, experimentation frameworks, and basic statistical analysis.
- Knowledge of CRM platforms or MarTech solutions such as Salesforce, Adobe Campaign, Braze, or Oracle.
Responsibilities
- 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 model outputs into practical campaigns and communication strategies.
- Define customer segments, audiences, hypotheses, messaging strategies, and engagement opportunities based on data-driven insights.
- Analyze customer lifecycle metrics including engagement, conversion, retention, churn, LTV, and campaign effectiveness.
- 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, and measurement frameworks.
- Identify data quality issues, process improvements, and automation opportunities to enhance analytical operations.
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