Cards Analytics Specialist

Contract: 12 months (potential extension)
Location: Doha, Qatar

Role Overview

PaymentGenes are supporting a leading financial institution is seeking a Cards Analytics Specialist to support its Cards Product and Portfolio teams with data-driven insights across the full card lifecycle — from acquisition and activation through customer engagement, retention, and profitability.

The successful candidate will own portfolio reporting, analyse performance trends, measure campaign effectiveness, and translate complex data into actionable recommendations for senior stakeholders. This role sits at the intersection of cards strategy, analytics, marketing performance, and commercial decision-making.

Key Responsibilities

• Build and maintain portfolio performance reporting and dashboards covering key card metrics including acquisition, activation, spend, revenue, attrition, risk, and profitability.
• Analyse 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 tools such as 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 and activation
  • Spend behaviour
  • Customer retention and attrition
  • Portfolio profitability
  • Credit performance and risk indicators
• Experience analysing 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 the 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
• Fintech organisations with card products

The ideal candidate will combine technical analytics capability with strong commercial understanding of card portfolios.