Cards MIS Specialist

PayTech Nexus Ltd; Dubai; On-site; AED 240,000 - 320,000; Full time

Job summary

PayTech Nexus Ltd. is seeking a Cards MIS Specialist to deliver accurate analytics and actionable insights. You will develop and maintain MIS dashboards, analyze card and transaction data, and support campaign measurement using SQL, Python, PySpark, and Power BI.

The role requires on-site work in Dubai, with responsibilities spanning data collection, KPI definition, and reporting automation to drive business performance and customer engagement.

Qualifications

• Bachelor's degree in analytics, statistics, CS, engineering, finance, or related field.
• Experience in Banking/Digital Payment & Card solutions or FinTech.
• Regional experience in a fast-paced matrix organisation.
• Excellent English communication; Arabic preferred.

Responsibilities

• Produce and maintain daily, weekly, monthly, and ad-hoc cards MIS.
• Build and refresh Power BI dashboards and Excel reporting packs; define KPIs.
• Translate campaign rules into customer selections; execute cashback analysis.
• Analyze portfolio performance across segments: acquisition, activation, usage, loyalty.
• Query and transform large datasets using SQL on Hive/Hadoop, Python, PySpark; automate workflows.
• Perform reconciliations, data quality controls, and auditability.
• Partner with product, marketing, operations, finance, risk, tech teams to derive insights.

Skills

Advanced Excel

Power BI

SQL

Python

PySpark

Hive/Hadoop

Dashboard automation

Education

Bachelor's degree in analytics or related field

Tools

Hive/Hadoop

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:

• Bachelors 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.