SENIOR DATA ANALYST-WENDI job at Pearl Bank

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Vacancy title:
SENIOR DATA ANALYST-WENDI

Employment type: Full time, Industry: Finance, Category: Computer & IT,Science & Engineering,Business Operations

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? Click here to submit your application now ([email protected]) .

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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