Job Description:

We are looking for a data-driven professional to join our team as a Data Analytics Specialist, focusing on accounting, debt collection, and financial operations. This role plays a key part in loss prevention, financial control, and providing actionable business insights through data analysis and visualization.

Key Responsibilities:

• Loss Prevention & Risk Monitoring:

  • Identify and monitor potential risks and suspicious activities across accounting and debt collection processes.
  • Conduct gap assessments and implement financial control measures to mitigate fraud or loss and operational risks.

• Data Analysis & Business Insights:

  • Analyze financial, operational, and revenue-related data, including customer profiles and payment behavior, to uncover trends, anomalies, and opportunities for improvement.
  • Integrate data from various business systems (e.g., ERP, CRM, debt collection platforms) to ensure comprehensive and accurate analysis.
  • Provide actionable insights to support strategic planning and decision-making in accounting, debt collection and related functions.

• Predictive Modeling & Forecasting:

  • Develop predictive models to enhance debt collection efficiency, assess customer payment behavior, and support financial performance monitoring
  • Design and implement predictive models to proactively detect and prevent customer-related fraud, leveraging behavioral data and transaction analysis.
  • Support proactive debt collection strategies and financial planning.

• Reporting & Dashboard Development:

  • Design and maintain dashboards and reports that visualize key metrics and performance indicators.
  • Ensure data accuracy and relevance to support business decisions.

• Cross-functional Collaboration:

  • Work closely with data warehouse team, accounting, finance, and debt collection teams to align data initiatives with business goals.
  • Translate complex data findings into clear, actionable recommendations.

Qualifications:

• Bachelor’s degree in Data Analytics, Accounting, Finance, Statistics, or a related field.
• Minimum of 3 years of experience in data analysis or business analysis
• Proficiency in data tools such as SQL, Excel, Power BI, Tableau, or Python.
• Strong understanding of financial processes and internal controls.
• Excellent communication and presentation skills.