Cards MIS Specialist

PayTech Group; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

PayTech Group in Dubai seeks a Cards MIS Specialist to deliver accurate analytics for cards and payments, develop MIS, dashboards and reporting, and ensure data quality to support business decisions.

You will leverage SQL, Python, PySpark, Power BI and Excel to transform large data into insights, identify trends, and collaborate with cross-functional teams to drive performance.

Qualifications

• Bachelor degree in analytics or related field; cards/banking analytics experience preferred.
• Banking, Digital Payment & Card solutions or FinTech background advantageous.
• Regional experience in a fast-paced matrix organisation preferred.
• Excellent English communication; Arabic helpful.

Responsibilities

• Produce and maintain daily, weekly, monthly MIS and ad-hoc reports for cards, accounts, and transactions.
• Build and refresh Power BI dashboards; define KPIs and explain trends and variances.
• Translate campaign rules into customer selections; analyse campaign performance.
• Analyze portfolio performance across acquisition, activation, loyalty, and cross-border segments.
• Query and transform large data with SQL, Python and PySpark; automate workflows.
• Ensure data quality, perform reconciliations, and document data lineage.
• Collaborate with product, marketing, operations, finance, risk, and tech teams to turn questions into insights.

Skills

Advanced Excel

Power BI

SQL

Python

PySpark

Hive/Hadoop

Dashboard automation

Education

Bachelor's degree in analytics, statistics, computer science, engineering, finance, or a related field

Tools

Hive/Hadoop

Power BI

Job description

Job Description:

Job Title: Cards MIS Specialist

Employment type: Contract (On-site)

Contract length: 12 months

Location: Dubai, UAE

PURPOSE OF THE PROJECT

The Cards MIS Specialist will deliver accurate, timely and actionable cards and payments analytics to support business decision-making, portfolio performance, and customer engagement. The role is responsible for developing and maintaining MIS, dashboards and reporting, analysing card and transaction data, supporting campaign execution and measurement, and ensuring data quality and reporting integrity. The role will leverage SQL, Python, PySpark, Power BI and Excel to transform complex datasets into meaningful insights, identify trends and opportunities, and collaborate with cross-functional stakeholders to drive operational efficiency and business performance.

Core Responsibilities and Accountabilities

• 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.

Knowledge and 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.

Mandatory Skills

• 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.