Job Title: Data Analyst (Remote Jobs)
Organisation: FairMoney
Duty Station: Kampala, Uganda
About Organisation:
FairMoney is building the leading mobile bank for emerging markets. We are unique thanks to our international exposure (with offices on 3 continents) and our impact-driven mission. We bring financial inclusion to underbanked people in emerging markets!
Job Summary: 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.
Key Duties 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.
Qualifications, Skills and Experience:
• 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 link below
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