Credit Intelligence Analyst I

Capitec Client Care; Stellenbosch; On-site; ZAR 300,000 - 600,000; Full time

Job summary

An established industry player in the banking sector is seeking a detail-oriented Sales Forecasting Analyst to join their dynamic team. This role focuses on leveraging data modeling techniques to forecast sales and support the development of financial budgets. The ideal candidate will possess strong analytical abilities and excellent communication skills, thriving in a fast-paced environment. Responsibilities include conducting complex data analysis, proposing solutions based on insights, and collaborating with teams to build statistical models. If you're passionate about data and eager to make an impact in the banking industry, this opportunity is for you!

Qualifications

• 2+ years of experience in financial forecasting or data analysis.
• Proficiency in data modelling techniques and forecasting methodologies.

Responsibilities

• Conduct complex quantitative data analysis to inform business decisions.
• Develop monthly rolling forecasts guiding sales targets for branches.

Skills

Analytical Skills

Communication Skills

Presentation Skills

Reporting Skills

Problem-solving Skills

Education

Bachelor's Degree in Finance

Post-graduate qualification in Finance or Statistics

Tools

Excel

SQL

SAS

Power BI

Python

R

Job description

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Date: 11 Apr 2025

Location: Stellenbosch, Western Cape, ZA

Company: Capitec Bank Ltd

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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

• To see what life at Capitec is all about and complete a short assessment, please click here!
• Once you have completed the above finalize your application by clicking apply below.
  
  

Purpose Statement

We are seeking a detail-oriented and analytical Sales Forecasting Analyst to join our dynamic team. This role involves leveraging data modelling techniques to forecast sales and support the development of annual financial sales budget expectations. The analyst will work closely with two teams—one responsible for sales forecasting and another for reporting actual realised sales. The insights generated will help establish monthly rolling forecasts, guiding sales targets for branches and digital teams. The ideal candidate will have strong analytical abilities, excellent communication skills, and the ability to thrive in a fast-paced environment.

To optimise credit intelligence performance, and minimise credit risk through:

• Independently conducting complex quantitative data analysis and delivering analytical output that will enable insights and inform business decision making.
• Proposing and executing solutions based on analytical outputs.
• Proposing and working with senior team members to build new statistical models informing credit decisions.
  
  

Experience

• Ideal 2+ years of experience in financial forecasting, data analysis, or a similar role (banking or financial services experience preferred).
• Ideal to have proficiency in data modelling techniques and forecasting methodologies.
• Strong skills in Excel, SQL, SAS and data visualization tools (Power BI, etc.).
• Ideal candidate will have experience with statistical programming (Python, R).
• Strong attention to detail, problem-solving skills, and the ability to work under tight deadlines.
• Excellent communication skills with the ability to present complex data/reports in a clear and actionable manner.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to evolving business needs.
  
  

Qualifications (Minimum)

• Bachelor's Degree in Finance or Statistics
  
  

Qualifications (Ideal Or Preferred)

• A relevant post-graduate qualification in Finance or Statistics
  
  

Knowledge

N/A

Skills

• Communications Skills
• Presentation Skills
• Reporting Skills
  
  

Conditions of Employment

• Clear criminal and credit record
  
  

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.

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