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Job Description & How to Apply Below
Pentabell is seeking a skilled CARDS MIS SPECIALIST for one of its clients This role involves delivering accurate and timely cards MIS through recurring reporting campaign analytics portfolio insights dashboarding and controlled automation
Cards MIS Specialist
Deliver accurate timely and actionable cards MIS by combining recurring reporting campaign analytics portfolio insights dashboarding and controlled automation
Responsibilities- 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 Py Spark
- automate repeatable workflows and improve turnaround time
- Bachelor s degree in analytics, statistics, computer science, engineering, finance or a related field
- 5 years of relevant experience
- 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
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