Data Analyst

Summary

Join FairMoney, a leading mobile banking institution, as a Data Analyst in Collections Operations. You will leverage your data analysis expertise to optimize collections processes and loan recovery. Key responsibilities include analyzing data on delinquent accounts and payment behaviors, collaborating with cross-functional teams, automating reporting processes, and identifying process improvements. This role requires a Bachelor's degree in a relevant field and 2+ years of experience in data analysis, preferably within collections operations or financial services. Proficiency in data analysis and visualization tools is essential. FairMoney offers competitive benefits, including private health insurance, a pension plan, paid time off, a remote work model, and training and development programs.

Requirements

• 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

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

Preferred Qualifications

• Advanced SQL skills for complex data extraction and manipulation
• Exposure to cloud-based data platforms (e.g., AWS, Google Cloud)

Benefits

• Private Health Insurance
• Pension Plan
• Paid Time Off
• Remote Work Model
• Training & Development Programs