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About the Organisation
Data Analyst job at FINCA Uganda | Apply Now
Kampala, Uganda
FINCA Uganda Limited is a dynamic financial institution dedicated to fostering economic empowerment and financial inclusion for underserved communities across Uganda, driven by a mission to create sustainable opportunities and enhance livelihoods through innovative microfinance solutions.
Recognized for its commitment to ethical banking and customer-centric service, the company has evolved from its pioneering beginnings into a modern, technology-driven organization with a strong market presence and widespread impact.
It boasts a vibrant work culture that values diversity, continuous learning, and employee well-being, offering extensive career opportunities and flexible work arrangements designed to nurture both professional and personal growth. Guided by core values such as integrity, accountability, and compassion, FINCA Uganda Limited continuously innovates its business model to blend cutting-edge digital solutions with traditional microfinance, ensuring robust outreach and measurable social impact.
Committed to corporate social responsibility, the institution actively supports community development, educational initiatives, and environmental sustainability programs, thereby reinforcing its reputation as a trusted leader in financial services. For more information, visit [Company Website].
Are you looking for Computer/IT jobs in Uganda 2025 today? then you might be interested in Data Analyst job at FINCA Uganda
Full Time
Deadline:
12 May 2025
Job Title
Data Analyst job at FINCA Uganda
FINCA Uganda
Job Description
Data Analyst
Finca is hiring a Data Analyst is responsible for collecting and analyzing relevant data from a wide variety of sources to provide practical and meaningful data insight reports, which guide credit risk decision-making and general management actions. He/she will support operational data analytics & insights, credit scoring, and management reporting.
Department: Data Analytics and Credit Risk Management
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
All candidates who wish to take up this role in the aforementioned capacity are encouraged to send their applications with the following documents:
Detailed CV (including present position)
Copies of relevant professional/academic certificates
Submission Details:
Validity Period: 28/04/2025 – 12/05/2025
Note: Only shortlisted candidates will be contacted.
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How to Apply
Sourcing data from various sources including SQL databases and CSV files.
Transforming and automating repetitive data tasks.
Data modeling & data visualization to evaluate performance and trends, using interactive visuals and dashboards.
Statistical and predictive analysis to model uncertain scenarios.
Credit Risk Scoring and segmentation to facilitate credit risk-based decision-making.
Developing processes and procedures for integrating Credit Scoring and risk-based pricing models into underwriting operations.
Training of Staff (Branches & Head Office) regarding Credit Risk Scoring processes and outcomes.
Providing solutions for queries from Branches and Head Office departments for Business and Data Insights Management Reporting.
Creating and maintaining regular and ad-hoc business operational reports, key risk indicators, among others.
Collecting credit risk-related data and conducting analysis, segmentation, trending, forecasting, and interpretation of risk management issues and concerns relevant to a portfolio of loan products using statistical techniques.
Supporting credit portfolio stress testing and scenario development.
Creating analytical datasets by performing exhaustive descriptive analysis, data cleansing and normalization, and investigation of business rules that create the data.
Developing systems and processes for gathering and storing data for future work and projects.
Developing new, improving current, and automating processes and reports routinely utilized using statistical and data science techniques.
Validating IFRS9 Modelling Variables, Assumptions, MDQs, and ECL outputs for accurate Loan Loss Provisions.
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Competencies
To perform the job successfully, an individual should demonstrate the following competencies:
Vintage Analysis Modelling.
Credit Portfolio Stress Testing Modelling.
Marketing Intelligence Analytics.
Technical Understanding of R programming and SQL.
Experience with Visualization Tools: Power BI, Tableau, etc.
Machine learning concepts to constantly improve automated decision-making.
Regression Analysis – Fundamentals & Practical Applications.
Statistical and predictive analysis.
Data transformation, modeling, and visualization.
Well-developed interpersonal and communication skills.
Proactive and logical approach with attention to detail.
Capable of performing under pressure and within time constraints.
Self-motivated and ability to work effectively with less supervision.
Qualifications, Skills, and Experience
Minimum Honors University degree in Statistics, Applied Mathematics, Economics/Econometrics, Actuarial Science, Computer Science, Information Technology, Operations Research, Industrial Engineering, or other quantitative disciplines.
3 years’ experience as a Data Analyst, Business Intelligence Analyst, Data Visualization Specialist, Quantitative Analyst, or Data Scientist.
Any experience within Microfinance, Credit Risk, Banking, or Mobile Networks is an added advantage.
