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Listing record updated: August 20, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

This role focuses on driving customer value management initiatives through advanced analytics and strategic insights. The Senior Associate will leverage customer data to identify growth opportunities and optimize retention strategies. By analyzing complex datasets and campaign performance, the candidate will directly contribute to increasing revenue and reducing customer churn. The position requires close collaboration with cross-functional teams to align analytical findings with business objectives.

The core responsibilities involve developing customer segmentation models and identifying upsell and cross-sell opportunities. The analyst will support end-to-end campaign management, from targeting to post-campaign performance analysis. Additionally, the role requires creating comprehensive dashboards and reports to track key customer KPIs. This position is ideal for a data-driven professional who enjoys translating complex analytics into actionable business strategies.

Responsibilities

  • Analyze customer behavior, usage patterns, and purchasing trends to derive actionable insights.
  • Develop customer segmentation models to identify upsell, cross-sell, and retention opportunities.
  • Support campaign targeting, execution, and post-campaign performance analysis.
  • Conduct churn and retention analysis and recommend specific improvement actions.
  • Develop dashboards and reports to track customer KPIs and campaign performance metrics.
  • Collaborate with Commercial, Sales, Product, Marketing, and Data teams to align analytical goals.

Requirements

  • Bachelor's degree in business, Marketing, Economics, Statistics, Data Analytics, or a related field.
  • 1-3 years of experience in CVM, CRM, Customer Analytics, BI, or related areas.
  • Proficiency in SQL for data extraction and manipulation.
  • Strong skills in Advanced Excel for data analysis and reporting.
  • Experience with Power BI or Tableau for creating visualizations and dashboards.

Nice to have

  • Proficiency in Python for advanced data analysis and modeling.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills to present findings to non-technical stakeholders.
  • Ability to work effectively in a cross-functional team environment.

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