Cards Analytics Specialist
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Key skills for this role
About the Role
PayTech Group seeks a Cards Analytics Specialist for a 12-month contract in Doha, Qatar. The role involves portfolio performance reporting, segmentation analysis, campaign measurement, and data-driven decision support for cards products within retail banking.
Key Skills for This Role
Responsibilities
- Build, maintain, and deliver recurring and ad hoc performance dashboards covering acquisition, activation, spend, ENR, delinquency, attrition, and profitability metrics across the card portfolio
- Conduct deep dive analyses on portfolio segments to identify performance drivers, risks, and growth opportunities
- Design and execute pre/post campaign analytics including control group methodology, ROI calculation, and response rate analysis
- Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses
- Identify opportunities to improve data integrity, automate recurring reports, and enhance self serve analytics capabilities
Requirements
- 7 years in cards analytics, portfolio analytics, or business intelligence within banking, payments, or financial services
- 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 visualisation tool (Tableau, Power BI, or equivalent)
- Professional proficiency in English
- Immediately available or within 30 day notice
Full Job Posting
Purpose of the Project
- The Cards Product and Portfolio teams require dedicated analytical capacity to strengthen data driven decision making across the card lifecycle.
- This role will own the production and interpretation of portfolio performance reporting, diagnose trends and risks, measure campaign effectiveness, and translate data into actionable recommendations.
Core Responsibilities and Accountabilities
- Portfolio performance reporting & monitoring (35%): Build, maintain, and deliver recurring and ad hoc performance dashboards.
- Portfolio diagnostics & segmentation analysis (25%): Conduct deep dive analyses on portfolio segments.
- Campaign measurement & effectiveness analysis (20%): Design and execute pre/post campaign analytics.
- Data driven decision support (15%): Provide structured analytical support through insight packs and business cases.
- Data quality & automation (5%): Identify opportunities to improve data integrity and automate reports.
- Own and deliver the recurring cards portfolio performance reporting suite.
- Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses.
- Design and execute campaign measurement frameworks including A/B testing and control groups.
- Develop and maintain interactive dashboards in Tableau/Power BI.
- Translate analytical findings into clear insight packs for senior management.
- Collaborate cross functionally with Product, Marketing, Risk, Operations, and Finance teams.
- Continuously improve data extraction, transformation, and reporting processes.
Knowledge and Experience
- 7 years in cards analytics, portfolio analytics, or business intelligence within banking, payments, or fintech.
- Exposure to retail banking, consumer lending, or credit risk analytics preferred.
- Understanding of card P&L structure and campaign lifecycle analytics.
- SQL proficient in writing complex queries (mandatory).
- Excel advanced (pivot tables, VLOOKUP, data modelling) (mandatory).
- Tableau and/or Power BI dashboard design (mandatory).
- Python or R for statistical analysis preferred.
- SAS for portfolio analytics preferred.
- CRM and campaign management platforms preferred.
- Core banking / card management systems exposure preferred.
KPIs (illustrative)
- Reporting timeliness & accuracy: % of scheduled reports delivered on time with <2% error rate.
- Dashboard adoption: % of stakeholders actively using self serve dashboards (target: 70%+ monthly active users).
- Campaign ROI measurement coverage: % of card campaigns with completed pre/post analysis within 10 business days.
- Insight to action conversion: Number of analytical recommendations adopted per quarter.
- Ad hoc request turnaround: Average time to deliver ad hoc requests (target: 3 business days).
- Automation rate: Number of manual reports converted to automated per quarter.
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