JOB TITLE: SENIOR DATA ANALYST-WENDI (01)
REPORTS TO: HEAD DATA ANALYTICS

JOB PURPOSE
The role is responsible for providing data analytics, performance reporting and actionable insights to drive the growth and optimisation of the Wallet business, with a focus on increasing active users,
transaction volumes and values, revenue generation, and delivering a safe, reliable and seamless customer experience.

The role will monitor and analyse performance across the end-to-end customer journey, including onboarding, wallet funding, payments, transfers and cash-out; develop and maintain performance dashboards; and translate transactional and customer data into actionable recommendations that inform product development, marketing strategies and management decision-making.

KEY RESPONSIBILITIES /KEY DELIVERABLES

• Wallet Performance Analysis: Analyse customer and transaction data to track wallet performance across acquisition, activation, usage, retention, churn, transaction volumes, value and revenue, identifying trends and opportunities for growth.
• Customer Segmentation and Insights: Develop customer segments based on behaviour, transaction patterns, value and channel usage to inform targeted campaigns, product development and customer engagement strategies.
• Predictive and Advanced Analytics: Develop and maintain predictive models for customer churn, dormancy, lifetime value and cross-selling opportunities, translating model outputs into actionable business recommendations and monitoring model performance.
• Product and Campaign Effectiveness: Design and evaluate A/B tests, cohort and funnel analyses to assess the effectiveness of product features, pricing changes and promotions, identify customer journey drop-off points, and recommend improvements.
• Forecasting and Business Planning: Forecast transaction volumes, revenue and agent/merchant liquidity requirements to support business planning, growth initiatives and liquidity management.
• Fraud and Anomaly Detection: Analyse transaction patterns and support the development of rules and models to identify unusual activities, escalating potential fraud risks to the relevant teams.
• Reporting and Dashboard Development: Gather business reporting requirements and develop dashboards and automated reports providing timely insights into wallet performance, customer activity, revenue, transaction trends and agent/merchant performance.
• Data Quality and Reconciliation: Validate wallet data, support transaction and balance reconciliations, identify data quality issues and collaborate with Business Technology (BT) to resolve discrepancies and improve data integrity.
• Service Performance Monitoring: Analyse failed transactions, system downtime and customer complaint trends to identify service delivery gaps and recommend improvements to wallet reliability and customer experience.
• Stakeholder Engagement and Decision Support: Present clear, evidence-based insights and recommendations to the wallet product team and senior management to support informed decisions, product optimisation and sustainable business growth.
• Ad-hoc Business Analysis: Undertake ad-hoc data analysis and investigations as required by the wallet team and management to address emerging business questions and support strategic priorities.
• Stakeholder Collaboration: Collaborate with Marketing, Product and Customer Service teams to translate data insights into actionable initiatives that improve customer engagement, wallet adoption, retention and overall business performance.

BUSINESS BEHAVIOURS

1. Passion: Committed to excellence, delivering outstanding results and making a positive impact on our customers and stakeholders.
2. Teamwork: Collaborates, mutual respect, and diverse perspectives, to achieve shared success and deliver greater value to the Bank.
3. Integrity: Uphold honesty, transparency, and accountability, ensuring ethical practices in every action.
4. Innovation: Embrace creativity and forward-thinking, continually seek new solutions to enhance customer experience and drive business growth.

QUALIFICATIONS, EXPERIENCE AND COMPETENCIES REQUIRED

• Bachelor’s degree in computer science, Data Science, Statistics, or a related field from a recognized institution.
• A master’s in data science, computer science, or a similar discipline is advantageous.
• Formal training in machine learning, artificial intelligence, data mining, or statistical modeling.
• Certification in MS Power BI, Tableau or Qlik Sense is an added advantage.
• A minimum of five (5) years’ experience as a Data or Business Analyst, ideally in banking, mobile money, payments or fintech.
• Hands-on experience analysing high-volume transaction data.
• Understanding of digital wallet or mobile money operations.
• Strong in SQL and Python or R for data analysis and modelling
• Proficiency in at least one BI tool (Power BI or Qlik Sense).
• Solid statistics: hypothesis testing, regression, and experimental design.
• Practical experience with machine learning techniques.
• Good grasp of data quality and validation practices.

THE FOLLOWING DOCUMENTS SHOULD ACCOMPANY THE APPLICATION

Cover letter, Detailed CV, and Copies of academic documents all as one file.

MODE OF APPLICATION

1. Online applications addressed to Chief People & Strategy Officer, Pearl Bank Uganda.
2. Send application to hr@pearlbank.com with  job title as subject.
3. Closing Date: Tuesday 3rd November 2026 at 5:00pm.

Only shortlisted candidates will be contacted.
Pearl Bank Uganda Ltd is an equal opportunity employer