Graduate Data Analyst

Data Collection & Management

• Collect, clean, and validate data from multiple sources.
• Ensure data accuracy, consistency, and integrity across systems.
• Support the maintenance and enhancement of databases and reporting environments.
• Assist with data preparation and transformation processes.

• Analyse large datasets to identify trends, anomalies, and business opportunities.
• Support investigations into financial and operational performance metrics.
• Translate data into actionable insights that support decision-making.
• Perform ad hoc analyses to address business challenges.

• Develop and maintain dashboards and reports using tools such as Power BI.
• Present findings in a clear and engaging manner for technical and non-technical stakeholders.
• Assist in automating recurring reporting processes.

• Work closely with business stakeholders to understand reporting and analytical requirements.
• Collaborate with teams across operations, technology, and finance to deliver data-driven solutions.
• Participate in projects aimed at improving business performance and efficiency.

• Identify opportunities to improve processes through data and automation.
• Stay current with industry trends, emerging technologies, and best practices in analytics.
• Contribute innovative ideas to enhance reporting and analytical capabilities.

Essential Skills, Qualifications & Experience:

Minimum Requirements

• Bachelor's Degree in:
• Data Science
• Statistics
• Mathematics
• Computer Science
• Finance
• Economics
• Information Systems
• Or a related quantitative field
• 0-1 years of working experience (graduates are encouraged to apply).

• Exposure to SQL, Python, R, or similar analytical tools.
• Familiarity with Excel and data manipulation techniques.
• Knowledge of data visualisation tools such as Power BI, Tableau, or similar platforms.
• Understanding of basic statistical and analytical concepts.

• Internship, vacation work, academic projects, or practical exposure involving data analysis.
• Experience working with financial, operational, or business datasets.
• Certifications in data analytics, business intelligence, or related fields.

What is in it for you:

• Exposure to real-world financial and business analytics.
• Hands-on experience with modern data and visualisation tools.
• Mentorship from experienced professionals.
• Ongoing learning and professional development opportunities.
• A collaborative and supportive work environment.
• Competitive salary and benefits package, including retirement fund contributions.

Apply today and take the first step towards an exciting career in Data Analytics.

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Software Development

Data Engineer

Data Analyst

Infrastructure

Architecture

... and more!

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information contact:

Evandria Rademeyer

Researcher