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Full-time
Data Analyst Job at FairMoney
FairMoney
Job Description
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.
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
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