Cards Analytics Specialist

Job Title: 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:

1. Proficiency in SQL and Excel
2. Demonstrated experience in cards portfolio analytics (credit and/or debit) within banking or payments
3. Experience with at least one data visualisation tool (Tableau, Power BI, or equivalent)
4. Professional proficiency in English
5. 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 and Accountabilities

• 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 decision speed.
• 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.
  
  

KPIs (illustrative)

1. Reporting timeliness & accuracy-% of scheduled reports delivered on time with <2% error rate
2. Dashboard adoption-% of stakeholders actively using self-serve dashboards (target: 70%+ monthly active users)
3. Campaign ROI measurement coverage-% of card campaigns with completed pre/post analysis delivered within 10 business days of campaign close
4. Insight-to-action conversion-Number of analytical recommendations adopted by Product/Marketing per quarter
5. Ad-hoc request turnaround-Average time to deliver ad-hoc analytical requests (target: 3 business days)
6. Automation rate-Number of manual reports converted to automated/self serve per quarter
   
   

Knowledge and Experience

• 7 years in a cards analytics, portfolio analytics, or business intelligence role within banking, payments, or fintech
• Exposure to retail banking, consumer lending, or credit risk analytics preferred
• Cards portfolio management concepts: acquisition funnels, activation rates, spend behaviour, ENR/balance build, attrition, delinquency, and profitability drivers
• Understanding of card P&L structure (interchange income, fee income, cost of funds, scheme fees, provision/write-off)
• Campaign lifecycle analytics: targeting, segmentation, control-group design, uplift measurement, and ROI
• Familiarity with card scheme reporting ( performance dashboards and benchmarking tools) -preferred
• SQL -proficient in writing complex queries for large datasets (mandatory)
• Excel -advanced (pivot tables, VLOOKUP/INDEX-MATCH, data modelling, macros) (mandatory)
• Tableau and/or Power BI -dashboard design and interactive reporting (mandatory)
• Python or R -for statistical analysis, data manipulation, and automation preferred
• SAS -portfolio analytics and data extraction -preferred
  
• CRM and campaign management platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign, SAS CI) - preferred
• Core banking / card management systems (CMS) exposure -preferred
  
• Google Data Analytics Professional Certificate or equivalent demonstrates structured analytical methodology
• Certified Analytics Professional (CAP)
• Mastercard Portfolio Management Certification
• Strong data storytelling and presentation skills -ability to translate complex data into clear, commercially relevant narratives for senior stakeholders
• Proactive problem-solving and intellectual curiosity
• Ability to manage multiple concurrent requests and prioritise effectively
• Collaborative mindset -comfortable working across Product, Marketing, Risk, and Finance teams
• Attention to detail with a commitment to data accuracy and qualit