Trafilea Tech E-commerce Group

Senior Data Analyst – Retention Focus

Trafilea Tech E-commerce Group

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇾 Uruguay

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Job Level

Senior

Tech Stack

Amazon RedshiftBigQueryNumpyPandasPythonSQLTableau

About the role

  • Conduct deep-dive analyses on retention, repeat rate, churn, cohorts, LTV, and lifecycle KPIs
  • Analyze customer behavior across the funnel (first purchase → repeat → loyal customer)
  • Perform exploratory data analysis (EDA) to answer ad-hoc retention and lifecycle questions
  • Identify drivers of churn and loyalty, delivering root-cause analysis with actionable recommendations
  • Build and maintain cohort-based and predictive models (churn prediction, LTV forecasting)
  • Design and analyze A/B tests and lifecycle experiments (email, SMS, loyalty, offers, timing)
  • Support incrementality measurement for retention initiatives and CRM campaigns
  • Create Python/SQL scripts to automate recurring retention and cohort reporting
  • Build scalable data pipelines for customer lifecycle metrics
  • Develop QA processes to ensure accuracy and consistency in customer-level data
  • Translate retention and lifecycle business questions into technical analyses
  • Present insights clearly to non-technical stakeholders (CRM, Marketing, Growth, Finance)
  • Collaborate with BI, Growth, and Lifecycle teams to define metrics and dashboards
  • Document retention methodologies, analyses, and models
  • Mentor junior analysts on lifecycle analytics best practices
  • Help establish analytical standards for retention and customer insights

Requirements

  • Advanced SQL: Complex queries, CTEs, window functions; experience with data warehouses (BigQuery, Snowflake, Redshift)
  • Python for Analytics: Pandas, NumPy; visualization libraries; automation scripting
  • Statistical Modeling: Regression, cohort analysis, time-series forecasting, hypothesis testing
  • Retention & Lifecycle Analytics: Strong understanding of churn, retention curves, cohorts, LTV, repeat purchase behavior
  • Data Visualization: Ability to build clear dashboards and charts; experience with BI tools (Looker, Tableau, Power BI, etc.)
  • Experience with CRM or lifecycle channels (Email, SMS, Push, Loyalty programs)
  • A/B testing and experimentation frameworks for retention initiatives
  • Incrementality measurement for lifecycle campaigns
  • E-commerce or DTC analytics background
Benefits
  • USD competitive salary
  • paid time off
  • professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonStatistical ModelingA/B testingData VisualizationCohort AnalysisChurn PredictionLTV ForecastingExploratory Data AnalysisData Pipelines
Soft skills
Analytical ThinkingCommunicationCollaborationMentoringProblem SolvingPresentation SkillsAttention to DetailRoot-Cause AnalysisActionable RecommendationsDocumentation