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Cards Analytics Specialist

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: PayTech Nexus Ltd
Full Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 180000 - 270000 QAR Yearly QAR 180000.00 270000.00 YEAR
Job Description & How to Apply Below

Cards Analytics Specialist

Term: 12 months

Location:

Doha, Qatar

Division:
Cards & Payments/ Retail Banking

Reports to:

Head of Cards Product / Head of Cards Portfolio / Head of Cards Analytics

Relevant Experience

7 years in cards analytics, portfolio analytics, or business intelligence within banking, payments, or financial services.

Mandatory Requirements
  • Proficiency in SQL and Excel.
  • Demonstrated experience in cards portfolio analytics (credit and/or debit) within banking or payments.
  • Experience with at least one data visualization tool (Tableau, PowerBI, or equivalent).
  • Professional proficiency in English.
  • Immediately available or within 30‑day notice.
  • Purpose of the Project

    The Cards Product and Portfolio teams require dedicated analytical capacity to strengthen data‑driven decision‑making across the card lifecycle; from acquisition and activation through spend growth, retention, and profitability. This role exists to embed a specialist analytics resource who will own the production and interpretation of portfolio performance reporting, diagnose emerging trends and risks, measure campaign effectiveness, and translate data into actionable recommendations for senior stakeholders.

    For the right candidate, this is an opportunity to directly influence a card portfolio's commercial trajectory working at the intersection of product strategy, marketing execution, and financial performance within a leading financial institution.

    Key Activities & Core Responsibilities
    • Portfolio performance reporting & monitoring (~35%) – Build, maintain, and deliver recurring and ad‑hoc performance dashboards covering acquisition, activation, spend, ENR (Earning Net Revenue), delinquency, attrition, and profitability metrics across the card portfolio.
    • Portfolio diagnostics & segmentation analysis (~25%) – Conduct deep‑dive analyses on portfolio segments (by product, channel, customer cohort, vintage) to identify performance drivers, risks, and growth opportunities.
    • Campaign measurement & effectiveness analysis (~20%) – Design and execute pre/post campaign analytics including control‑group methodology, ROI calculation, and response‑rate analysis to measure and optimise marketing and engagement campaigns.
    • Data‑driven decision support (~15%) – Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses that inform strategic and tactical decisions.
    • Data quality & automation (~5%) – Identify opportunities to improve data integrity, automate recurring reports, and enhance self‑serve analytics capabilities for business users.
    • Own and deliver the recurring cards portfolio performance reporting suite (daily/weekly/monthly), ensuring timely, accurate, and insight‑rich output that enables the Cards leadership team to track KPIs against targets and take corrective action.
    • Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses across the card lifecycle (acquisition, activation, usage, retention, attrition), identifying underperforming segments and recommending targeted interventions.
    • Design and execute campaign measurement frameworks – including A/B testing structures, control groups, uplift calculations, and ROI analysis – to quantify the impact of card marketing campaigns and provide actionable post‑campaign recommendations.
    • Develop and maintain interactive dashboards and visualisations (Tableau / Power BI) that enable stakeholders to self‑serve on key portfolio metrics, reducing ad‑hoc request volume and improving decisionspeed.
    • Translate analytical findings into clear, concise insight packs and presentations for senior management, ensuring recommendations are commercially grounded and linked to portfolio P&L levers (interchange, fee income, cost of funds, provision rates).
    • Collaborate cross‑functionally with Product, Marketing, Risk, Operations, and Finance teams to ensure data consistency, align on KPI definitions, and embed analytics into business planning and campaign execution cycles.
    • Continuously improve data extraction, transformation, and reporting processes – automating manual workflows and enhancing data quality controls to increase efficiency and reduce error rates.
    Key Performance Indicators (illustrative)
  • Reporting timeliness & accuracy – % of scheduled reports delivered on time with
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