Data Analyst Trainee x2 at Coronation for unemployed graduates (omputer Science, Mathematics, Data Science, Economics, or Finance)

Data Analyst Trainee x2 - Catapult Programme 2026 (Johannesburg)

Details

Data Analyst Trainee x2 - Catapult Programme 2026 (Johannesburg) (COR250822-2) - 2018 Logo

Closing Date 2025/10/31

Reference Number COR250822-2

Job Title Data Analyst Trainee x2 - Catapult Programme 2026 (Johannesburg)

Job Type Classification Graduate

Location - Country South Africa

Location - Province Gauteng

Location - Town / City Johannesburg

Job Description

This role involves utilizing statistical and analytical methods to extract and analyze data and process it into meaningful data solutions for clients. This is your opportunity to upskills on machine learning and data analysis within a 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.

Data mining, extraction, and reconciliation from various data sources

Analyzing and collating large amounts of information to find patterns and solutions

Processing, cleansing, and validating the integrity of data to be used for analysis.

Assist with the update and maintenance of internal Technology catalogue and process register.

Assist with Business Analysis, and process documentation as instructed.

Generate reports and presentations that effectively communicate data-driven insights to various stakeholders, including the Exco Team.

Stay updated with the latest developments in data analysis, machine learning, and financial markets to identify opportunities for innovation and improvements within the organization.

Engage with various teams in the business to enhance your knowledge across the various asset classes, which will enable you to optimize data analysis and requirements.

Ad-Hoc requests as and when required

Ideal Experience

This is a graduate role, thus no experience necessary.

Ideal Qualifications

Relevant tertiary qualification: Honours/master’s degree in Computer Science, Mathematics, Data Science, Economics, or Finance.

Most Important Attribute

Personable and extrovert

Resilient

Curious and Methodical

Client service orientated.

Strong communication skills

Structured work style, attention to detail and accuracy is of the utmost importance.

Strong work ethic, self-motivated, driven and results oriented.

Ability to listen and respond to new ideas, input, and diverse perspectives.

Positive, pro-active team player

Energetic problem-solver

Honesty and integrity

Take ownership and problem solve when required.

Flexible and adaptable to the changing needs of the business

Systems Knowledge

Advanced Excel skills

Intermediate Knowledge of VBA, SQL and Python

Intermediate knowledge of Power BI

An understanding of Databases and Data Management

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