SENIOR DATA ANALYST-WENDI job at Pearl Bank
Posted by: great-volunteer
Posted date: 2026-Oct-31
Location: Kampala
SENIOR DATA ANALYST-WENDI 2026-10-31T12:41:52+00:00 Pearl Bank https://cdn.ugashare.com/jsjobsdata/data/employer/comp_12187/logo/PEARL%20BANK.jpg https://www.postbank.co.ug/ FULL_TIME Kampala Kampala 00256 Uganda Finance Computer & IT,Science & Engineering,Business Operations 2026-11-03T17:00:00+00:00 8 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 - Passion: Committed to excellence, delivering outstanding results and making a positive impact on our customers and stakeholders.
- Teamwork: Collaborates, mutual respect, and diverse perspectives, to achieve shared success and deliver greater value to the Bank.
- Integrity: Uphold honesty, transparency, and accountability, ensuring ethical practices in every action.
- 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.
- 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.
- SQL
- Python
- R
- MS Power BI
- Tableau
- Qlik Sense
- Machine learning
- Artificial intelligence
- Data mining
- Statistical modeling
- Hypothesis testing
- Regression
- Experimental design
- 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.
JOB-6ae5e210b1731 Vacancy title:
SENIOR DATA ANALYST-WENDI Jobs at:
Pearl Bank Deadline of this Job:
Tuesday, November 3 2026 Duty Station:
Kampala | Kampala Summary
Date Posted: Saturday, October 31 2026, Base Salary: Not Disclosed JOB DETAILS:
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 - Passion: Committed to excellence, delivering outstanding results and making a positive impact on our customers and stakeholders.
- Teamwork: Collaborates, mutual respect, and diverse perspectives, to achieve shared success and deliver greater value to the Bank.
- Integrity: Uphold honesty, transparency, and accountability, ensuring ethical practices in every action.
- 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.
Work Hours: 8 Experience in Months: 60 Level of Education: bachelor degree Job application procedure
Interested in applying for this job? pearlbank.com&form%5Bvalid-to%5D=Tuesday,%20November%203%202026">Click here to submit your application now.
The following documents should accompany the application: - Cover letter, Detailed CV, and Copies of academic documents all as one file.
Online applications addressed to Chief People & Strategy Officer, Pearl Bank Uganda. Send application with job title as subject. Closing Date: Tuesday 3rd November 2026 at 5:00pm. Only shortlisted candidates will be contacted. Pearl Bank Uganda Ltd is an equal opportunity employer.
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