Cards Analytics Specialist

Location: Doha, Qatar (On-site)

Duration: 12 Months (Extendable)

Description

Please apply only if you are open to relocating and working onsite in Doha, Qatar for a minimum of 12 months. Candidates already in Qatar with a valid work permit are encouraged to apply.

We are hiring a Cards Analytics Specialist to work on a project for one of our clients, a leading regional bank. This is a specialist analytics role sitting inside the Cards & Payments function, and it calls for someone who has spent the bulk of their career working specifically on card portfolios, not general banking analytics.

You will own how card portfolio performance is measured, understood, and acted upon. The remit runs the full length of the card lifecycle, from how cards are acquired and activated through to spend, retention, and profitability. We are looking for someone who does not stop at producing numbers but interprets them, spots what is moving and why, and puts clear recommendations in front of senior stakeholders.

This is a hands-on individual contributor role with real visibility. Minimum 7 years of experience is required, and that experience needs to be rooted in cards.

The work itself

Recurring card portfolio reporting is the backbone of the role. You will build and run the dashboards and performance packs that leadership relies on across daily, weekly, and monthly cycles, tracking acquisition, activation, spend, delinquency, attrition, and profitability across the card book.

From there, the work becomes investigative. You will pull card portfolios apart by product, channel, customer cohort, and vintage to work out what is driving performance and where the risks and opportunities sit.

Card campaign measurement is a major part of the mandate. When the bank runs a card marketing or engagement campaign, you are the person who proves whether it worked, using proper test-versus-control comparisons, return-on-spend calculations, and response-rate analysis, and who says what should change next time.

You will also act as the analytics partner to the Cards Product, Portfolio, Marketing, and Risk teams, turning analysis into briefing packs, business cases, and what-if scenarios that feed straight into decisions. A key part of this is keeping metric definitions consistent across teams, so everyone is working from the same numbers and the same understanding of what each one means.

Finally, you will keep pushing the reporting operation forward, cutting out manual effort, tightening data quality, and giving business users more ability to answer their own questions.

What you need to have

Mandatory:

• Minimum 7 years working in cards analytics, card portfolio analytics, or business intelligence within banking, payments, or financial services, with a clear majority of that time spent on cards specifically
• Proven hands-on work analysing a live card portfolio, whether credit, debit, or both
• Strong SQL, comfortable writing complex queries against large datasets without support
• Advanced Excel, including pivot tables, lookup and match functions, and data modelling
• Working proficiency in Tableau, Power BI, or a comparable visualisation tool
• Professional working proficiency in English
• Available immediately or on a notice period of up to 30 days

Preferred:

• Python or R for statistical work, data manipulation, and automation
• SAS for portfolio analysis and data extraction
• Exposure to CRM or campaign management platforms
• Familiarity with core banking or card management system data
• A working grasp of how a card portfolio actually makes money, across the main revenue and cost levers
• A relevant analytics certification

The kind of thinking we want

You should be fluent in how card portfolios behave: how customers move from acquisition to activation to steady usage, what makes them fall dormant or attrite, and what drives the balances and revenue they generate along the way. You should understand delinquency and attrition not just as metrics but as signals worth investigating. You should also know how card campaigns are targeted, segmented, and measured, and how to isolate genuine uplift from noise. Just as important as the technical skill is the instinct to keep asking why, and the ability to explain a complex finding to a non-technical senior audience in plain commercial terms.

What success looks like

• Reporting that lands on time and is trusted to be accurate
• Dashboards that stakeholders genuinely use to answer their own questions
• Card campaigns measured end to end, promptly after they close, with a clear read on what worked
• Recommendations that get acted on, not just filed
• A steadily shrinking pile of manual reporting as automation takes over