The Transactional Data Analyst is a specialized role within the Operations department focused on the oversight and integrity of high-volume banking transactions. The primary objective is to monitor the end-to-end reconciliation lifecycle by applying advanced data analysis techniques to identify patterns, systemic gaps, and financial risks. This role serves as a bridge between raw transactional data and managerial oversight, ensuring that the bank’s automated reconciliation engines operate with maximum efficiency. Unlike a developer role, this position focuses on the analytical interpretation of data and the optimization of system logic to ensure seamless financial settlements and accurate reporting.
Perform deep-dive analysis on high-volume data streams originating from core banking systems (T24), middleware, and third-party vendor portals.
Identify trends, systemic anomalies, and recurring exceptions to improve the "Auto-Recon" hit rate and minimize the need for manual intervention.
Monitor the health of automated reconciliation processes to ensure that data ingested from various sources is accurate, complete, and properly aligned.
Oversee the resolution of complex discrepancies by investigating underlying transactional behaviours and identifying the root causes of settlement failures.
Collaborate with IT and Operations departments to refine business rules and logic for automated matching engines and map data lineages to identify points of failure.
Design and maintain customized BI dashboards to provide stakeholders with clear insights into outstanding funds, aging analysis, and recovery statuses.
Act as a subject matter expert on transactional data structures during internal and external audits or during major system upgrades.
Possess a Bachelor’s degree in Finance, Statistics, Mathematics, Data Science, or a related quantitative field (Recent graduates are encouraged to apply).
Proven track record and have the ability to manage complex data projects independently and meet deadlines in a remote environment.
Demonstrate strong technical expertise in SQL for data extraction and manipulation, alongside proficiency in Python or R for statistical analysis.
Maintain advanced Excel skills, including proficiency in Pivot Tables, Power Query, and the construction of complex formulas developed through freelance or academic work.
Display strong analytical thinking with the ability to translate complex data findings into actionable business insights.
Show proactive problem-solving skills and excellent communication abilities to manage relationships with various internal and external stakeholders across different time zone
Job Locations:
Head Office
About MMBL:
Mobilink Microfinance Bank Ltd. is providing banking services to over 48 million registered users including 20+ million monthly active customers across Pakistan. With a hybrid model that combines traditional microfinance with mobile/digital banking technologies, the bank now operates with over 114 branches and 270,000 branchless banking agents and provides a USSD (GSM) based digital channel offering savings, micro enterprise (MSME) loans, small housing loans, remittances, collection (utility bills and loan installments), mobile wallets, insurance, G2P, B2B & B2P payments; thus, playing a leading role in the promotion of financial inclusion.
MMBL is committed to fostering a positive and productive workplace, and our core values reflect this focus. These values include promoting innovation and entrepreneurship, encouraging teamwork and collaboration, and prioritizing a customer-centric approach in all aspects of our business.
Why Join MMBL ?
This is an opportunity for someone who is passionate about making a difference and playing a key role in driving transformative change. Our team is committed to empowering millions with the tools necessary to succeed in the digital age, and we're looking for a talented individual to join us in this endeavor.