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Card Analytics Specialist

PaymentGenes
Doha, QAT
Contract
Senior
Onsite
3 days ago
SQLPower BITableauAdvanced ExcelData AnalysisPortfolio Analytics
Free

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Role Overview

  • PaymentGenes is supporting a leading financial institution seeking a Cards Analytics Specialist.
  • The role supports Cards Product and Portfolio teams with data driven insights across the full card lifecycle.
  • The successful candidate will own portfolio reporting, analyze performance trends, measure campaign effectiveness, and translate data into actionable recommendations.

Key Responsibilities

  • Build and maintain portfolio performance reporting and dashboards covering key card metrics.
  • Analyze card portfolio performance through segmentation, customer cohorts, product analysis, and trend identification.
  • Measure campaign effectiveness through pre/post analysis, customer segmentation, ROI measurement, and uplift analysis.
  • Develop dashboards and self service reporting solutions using Power BI or Tableau.
  • Provide analytical insights and recommendations to Cards Product, Marketing, Risk, Finance, and senior leadership teams.
  • Improve reporting processes through automation, data quality improvements, and enhanced analytics capabilities.
  • Translate data findings into clear business recommendations linked to portfolio growth and profitability.

Required Experience

  • 7+ years’ experience in cards analytics, portfolio analytics, business intelligence, or customer analytics within banking, payments, or fintech.
  • Strong understanding of card portfolio performance metrics including acquisition, activation, spend, retention, attrition, profitability, credit performance, and risk indicators.
  • Experience analyzing campaign performance, customer segments, and commercial outcomes.
  • Strong SQL skills with experience working with large datasets.
  • Advanced Excel skills.
  • Experience building dashboards and reports using Power BI, Tableau, or equivalent tools.
  • Strong communication skills with ability to present insights to senior stakeholders.

Preferred Experience

  • Retail banking, consumer lending, or credit risk analytics background.
  • Experience with card scheme reporting or card management systems.
  • Experience using Python, R, SAS, or CRM analytics platforms.
  • Understanding of card P&L drivers such as interchange income, fees, costs, and profitability.

Ideal Background

  • Candidates from retail banking, card issuers, payments companies, digital banks, or fintech organizations with card products.
  • The ideal candidate combines technical analytics capability with strong commercial understanding of card portfolios.

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