Data Analyst (mid) ( Jb3631)

3 - Years    Pinetown, KwaZulu-Natal, South Africa
Educor Holdings 57 Underwood Road Pinetown Durban Kwa Zulu Natal 3610, South Africa

Job Description

Data Analyst (Mid) ( JB3631)

We are seeking a highly motivated and detail-oriented Data Analyst to join our Collections Department. As a Data Analyst, you will play a crucial role in analyzing and interpreting financial data to optimize our collections strategies, enhance recovery efforts, and minimize delinquency rates. Your analytical insights will directly impact our bottom line and contribute to the overall success of the collections team.

Bachelor's degree or Relevant qualification in Data Science, Statistics, Economics, Finance, or a related field. Master's degree preferred.
Proven experience 2+ years as a Data Analyst, preferably within a collections or financial services environment.
Proficiency in data manipulation, analysis, and visualization tools such as SQL, Excel, Tableau, or Power BI.
Strong programming skills in languages for data analysis and modeling.
Experience with statistical analysis and predictive modeling techniques.
Knowledge of collections processes, credit risk assessment, and regulatory compliance is a plus.
Excellent problem-solving skills with the ability to translate complex data into actionable insights.
Strong communication skills to convey findings and recommendations to both technical and non-technical audiences.
Detail-oriented, self-motivated, and able to work effectively in a collaborative team environment.

Key Responsibilities:
Data Analysis and Interpretation: Collect, clean, and transform large datasets from various sources to derive meaningful insights. Analyze historical and current financial data to identify trends, patterns, and anomalies related to customer payment behavior, delinquency rates, and recovery rates.
Predictive Modeling: Develop and implement predictive models to forecast delinquency rates, recovery rates, and potential bad debts. Collaborate with cross-functional teams to refine and validate models, ensuring accuracy and applicability.
Portfolio Performance Evaluation: Monitor the performance of collection strategies and recommend improvements based on data analysis. Evaluate the effectiveness of existing strategies and propose adjustments to optimize recovery efforts.
Reporting and Visualization: Create and maintain comprehensive dashboards, reports, and visualizations to communicate collection metrics, trends, and KPIs to key stakeholders. Provide actionable insights to guide decision-making and enhance departmental performance.
Strategy Development: Collaborate with the collections team to develop data-driven strategies for maximizing recoveries while minimizing operational costs. Use analytical findings to propose innovative solutions for optimizing resource allocation and outreach efforts.
Data Integrity and Quality Assurance: Ensure the accuracy and integrity of collected data by performing regular audits, data validation, and error checks. Identify and rectify data discrepancies or anomalies that could impact decision-making.
Cross-Functional Collaboration: Work closely with other departments, such as Risk Management, Finance, and IT, to align data analysis efforts and share insights that support broader business goals.
Continuous Improvement: Stay up-to-date with industry best practices, emerging trends, and new technologies in data analytics and collections. Proactively suggest process enhancements and tool adoption to improve data analysis efficiency and accuracy.

Join Our Team: This is a unique opportunity to leverage your data analysis expertise in a dynamic collections environment. As a Data Analyst in the Collections Department, you will have a direct impact on optimizing recovery efforts and minimizing delinquency rates, contributing to the financial success of our organization. If you are passionate about data-driven decision-making and thrive in a fast-paced, results-oriented setting, we invite you to apply and be part of our dedicated team.

Please email your full comprehensive CV to and quote JB3631 in the subject line
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Job Detail

  • Job Id
  • Industry
  • Total Positions
  • Job Type:
    Full Time
  • Salary:
  • Employment Status
  • Job Location
    Pinetown, KwaZulu-Natal, South Africa
  • Education
  • Experience
    3 - Years
  • Apply By
    Oct 19, 2023
  • Job Posting Date
    Sep 19, 2023