Cards MIS Specialist

Job Description

REQUIREMENTS

• Advanced Excel; Power BI (data modelling, DAX, and Power Query); strong SQL; Python and PySpark; Hive/Hadoop; dashboard and workflow automation.
• Card lifecycle and portfolio KPIs; authorization and transaction data; merchant/MCC/MID concepts; primary/supplementary cards; loyalty, cashback, co-brand, e-commerce, and cross-border campaigns.
• Data extraction and cleansing, segmentation, trend/variance analysis, campaign test-versus-control measurement, root-cause analysis, and insight storytelling.
• Data reconciliation, quality rules, documentation, access/privacy discipline, auditability, and production support.
• High attention to detail, ownership, prioritization, stakeholder communication, and the ability to explain complex analysis simply.
• Bachelor’s degree in analytics, statistics, computer science, engineering, finance, or a related field; relevant cards, banking or high-volume consumer analytics experience preferred.
• Previous experience within Banking, Digital Payment & Card solutions, or the FinTech industry.
• Regional experience, including working in a faced-paced matrix organisation.
• Excellent communication skills in English (written, verbal, and presentation); Arabic preferred.
  
  

Preferred Skills:

• Good understanding of payment systems, digital platforms, system workflows, security basics, and industry technologies.
• An understanding of regional regulations across financial services or payment networks.

RESPONSIBILITES

• Produce and maintain daily, weekly, monthly, and ad-hoc cards MIS covering customers, accounts, cards, transactions, spend, merchants, channels, and products.
• Build and refresh Power BI dashboards and Excel reporting packs; define KPIs and explain trends, variances, and exceptions.
• Translate campaign rules into accurate customer selections; execute fulfilment, cashback validation, and pre/post-campaign performance analysis.
• Analyze portfolio performance across acquisition, activation, usage, loyalty, co-brand, cross-border, e-commerce, and merchant segments.
• Query and transform large datasets using SQL on Hive/Hadoop, Python and PySpark; automate repeatable workflows and improve turnaround time.
• Perform reconciliations, sample checks and data-quality controls, document logic, lineage, assumptions, and re-run decisions.
• Partner with Cards Product, Marketing, Operations, Finance, Risk, Technology, and network/partner teams to convert business questions into clear insights.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#CrossChannelJobs #JobSearch
#CareerOpportunities #HiringNow
#Employment #JobOpenings
#JobSeekers