Coronation Fund Managers Data Analyst Trainee x2 Posts

Coronation Fund Managers

Data Analyst Trainee x2 – Catapult Programme 2026

Employer: Coronation Fund Managers

Location: Johannesburg, Gauteng, South Africa

Job Type: Graduate Program

Application Deadline: October 31, 2025

Reference Number: COR250822-2

Posted: Approximately 38 minutes ago

About the Role

Join the Coronation Fund Managers Catapult Programme for 2026 as a Data Analyst Trainee. This is an exceptional graduate opportunity designed to launch your career in the dynamic field of data analytics within the financial sector. You will be immersed in a role that focuses on utilizing advanced statistical and analytical methods to extract, analyze, and transform complex data into meaningful, actionable solutions for clients. You will have the chance to develop critical skills in machine learning and data analysis while working within a supportive, dynamic, and collaborative team environment.

Duties and Responsibilities

  • Develop and enhance skills in database design principles, mastering the use of SQL for querying databases, and effectively managing database systems.
  • Perform data mining, extraction, and reconciliation from a wide variety of data sources.
  • Analyze and collate large volumes of information to identify patterns, trends, and effective solutions.
  • Process, cleanse, and validate the integrity of data to ensure it is accurate and ready for analysis.
  • Assist with the update and maintenance of the internal Technology catalogue and process register.
  • Support Business Analysis efforts and contribute to process documentation as instructed.
  • Generate comprehensive reports and create presentations that clearly and effectively communicate data-driven insights to various stakeholders, including the Executive Committee (Exco) Team.
  • Continuously stay updated with the latest developments and trends in data analysis, machine learning, and financial markets to identify opportunities for innovation and process improvements within the organization.
  • Engage with various teams across the business to broaden your knowledge of different asset classes, which will enable you to optimize data analysis and better understand business requirements.
  • Fulfill ad-hoc data and analysis requests as and when they are required.

Ideal Qualifications

This is a graduate role; however, the ideal candidate will possess:

  • A relevant Honours or Master’s degree in Computer Science, Mathematics, Data Science, Economics, or Finance.

Ideal Experience

No prior professional experience is necessary as this is a graduate trainee position.

Most Important Personal Attributes

  • Personable and extroverted with strong interpersonal skills.
  • Resilient and able to thrive in a fast-paced environment.
  • Curious, methodical, and possesses a keen analytical mind.
  • Client service oriented with a focus on delivering value.
  • Excellent verbal and written communication skills.
  • Structured work style with an unwavering attention to detail and accuracy.
  • Strong work ethic, self-motivated, driven, and results-oriented.
  • Ability to actively listen and respond constructively to new ideas, input, and diverse perspectives.
  • A positive, pro-active team player who contributes to a collaborative atmosphere.
  • An energetic problem-solver who takes initiative.
  • Demonstrates honesty and integrity in all tasks.
  • Takes ownership of tasks and proactively works to solve problems when they arise.
  • Flexible and adaptable to the changing needs of the business.

Required Systems Knowledge

  • Advanced proficiency in Microsoft Excel.
  • Intermediate knowledge of VBA, SQL, and Python programming languages.
  • Intermediate knowledge of Power BI for data visualization.
  • A solid understanding of Databases and Data Management principles.

How to Apply

To apply for this position, please use the application link below. The deadline for applications is October 31, 2025.

Apply for job at coronation.erecruit.co

Upload your CV/resume or any other relevant file. Max. file size: 256 MB.