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Data Analyst job at FairMoney | Apply Now
Kampala, Uganda
Full Time
Are you looking for Finance jobs in Uganda 2025 today? then you might be interested in Data Analyst job at FairMoney
About the Organisation
Fair Money is a leading digital financial institution committed to providing accessible, fast, and reliable financial services, including loans, payments, and banking solutions, to underserved individuals and businesses. Recognized for its innovation and customer-centric approach, Fair Money has built a strong reputation as a trusted fintech company, leveraging technology to bridge financial gaps and promote financial inclusion.
With a dynamic and inclusive work culture, the company offers employees a collaborative environment, professional growth opportunities, and competitive benefits, fostering innovation and excellence. Fair Money provides diverse job opportunities in fintech, engineering, customer service, risk management, and product development, with flexible work arrangements to support work-life balance. Since its inception in 2017, Fair Money has evolved from a digital lending platform into a full-fledged financial services provider, continuously innovating through artificial intelligence, data analytics, and mobile banking to enhance user experience and financial accessibility.
Operating across multiple regions, the company serves millions of customers, expanding its reach and impact in emerging markets. Rooted in core values of transparency, innovation, customer focus, and financial empowerment, Fair Money is committed to corporate social responsibility through financial literacy programs, community engagement initiatives, and support for small businesses. By revolutionizing digital finance, Fair Money continues to drive economic growth and financial well-being. For more information, visit their official website at www.fairmoney.io.
Job Title
Data Analyst job at FairMoney
FairMoney
Job Description
Job Title: Data Analyst (Remote Jobs)
Organisation: FairMoney
Duty Station: Kampala, Uganda
As a Data Analyst in Collections Operations, you will utilize your expertise in data analysis to support the optimization of collections processes, and loan recovery. You will play a key role in analyzing data related to delinquent accounts, collection strategies, payment behaviors, and providing actionable insights to improve collection efficiency.
Duties, Roles and Responsibilities
Data Analysis and Reporting: Analyze large datasets related to collections, delinquent accounts, recovery rates, and payment behaviors to provide meaningful insights that optimize collections strategies and improve operational performance.
Collections Strategy Optimization: Collaborate with collections, credit risk, and operations teams to optimize collections efforts, and identifying opportunities for early intervention.
Portfolio Monitoring: Track and monitor collection performance metrics, including recovery rates, tracking against collections’ targets and provide early warnings of potential risks.
Automation and Reporting: Automate reporting processes to streamline collections workflows and enhance efficiency using tools such as SQL, Power BI, or Tableau. Provide updates on collections’ performance in collections operations forums.
Collaboration with Cross-Functional Teams: Work closely with collections operations managers, product teams, and risk departments to align data insights with operational strategies and drive improvements in collections performance.
Ad-hoc Analysis: Provide analytical support for ad-hoc requests related to collections operations, including risk assessments, portfolio reviews, and process improvements.
Process Improvement: Identify inefficiencies and gaps in collections processes and recommend improvements based on data analysis to enhance recovery rates and reduce operational costs.
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SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Qualifications, Education and Competencies
Bachelor’s degree in Business, Finance, Economics, Statistics, Mathematics, BTech (Business Technology), or related field.
2+ years of experience in data analysis, preferably within collections operations, lending, or financial services.
Proficiency in data analysis tools such as SQL, Excel, Python, R, etc.
Experience with data visualization tools (e.g., Tableau) to create impactful reports and dashboards.
Strong knowledge of collections strategies, delinquency management, and recovery metrics.
Experience in automating reporting and streamlining data processes.
Understanding of collections processes in a lending environment.
Knowledge of key collections metrics.
Ability to collaborate with collections teams and leverage data to optimize recovery strategies and minimize losses.
Strong analytical and problem-solving skills, with the ability to turn complex data into actionable insights.
Excellent communication skills, including the ability to present data findings clearly to non-technical stakeholders.
Attention to detail and a focus on data accuracy and integrity.
Strong organizational skills, with the ability to manage multiple priorities and meet deadlines.
Team player with the ability to collaborate effectively across functions.
Advanced SQL skills for complex data extraction and manipulation.
Exposure to cloud-based data platforms (e.g., AWS, Google Cloud).
How to Apply
All candidates who wish to join FairMoney should apply online at the APPLY Button below
