Graduate Programme: Business Intelligence

Alexforbes; Sandton; On-site; ZAR 250,000 - 350,000; Full time

Job summary

A leading financial services provider is looking for a recent graduate to join their Business Intelligence Graduate Programme in Sandton. This position involves developing BI reports using tools like Power BI and SQL, supporting data analysis, and ensuring data integrity. Ideal candidates exhibit strong analytical skills, excellent attention to detail, and a foundational knowledge of programming languages such as Python and R. This role supports career development in a dynamic work environment.

Qualifications

• Degree in Data Science, Business Analytics, Computer Science, or related field.
• Demonstrated coursework or projects in data analysis and visualization.
• Exceptional attention to detail and strong self-management skills.

Responsibilities

• Support ETL processes and maintain data accuracy.
• Develop and maintain BI reports and dashboards using Power BI and SQL.
• Conduct exploratory data analysis and prepare visualizations.

Skills

Power BI

SQL

Python

R

Data Analysis

Communication

Collaboration

Education

Degree in Data Science or related field

Tools

Denodo

Job description

Designation: Graduate Programme: Business Intelligence

Category: Human Capital & Transformation - OF5300

Posted by: Alexander Forbes

Posted on: 29 Jul 2025

Closing date: 12 Aug 2025

Location: Sandton

Overview

Purpose of the Job:

A highly motivated recent graduate with strong proficiency in Power BI and SQL, capable of creating insightful reports and extracting meaningful data efficiently. Knowledge of Python and R is highly beneficial, enabling advanced data analysis and automation tasks. Experience with large and complex datasets is a plus, demonstrating the ability to handle data volume and complexity.

They exhibit exceptional attention to detail, ensuring accuracy and data integrity in all deliverables. This graduate is curious, asks questions, and actively seeks knowledge from peers, mentors, and external resources.

With an interest in data science, AI, and emerging market trends, they stay informed about industry developments, which enhances their analytical approach and business understanding.

Outcome-focused, driven to deliver actionable insights supporting business goals. Demonstrates strong self-management skills, taking ownership of tasks and deliverables.

Excellent communication and collaboration skills enable cross-functional work and clear presentation of findings to technical and non-technical stakeholders.

Minimum Qualifications

A degree in Data Science, Business Analytics, Computer Science, Information Systems, Statistics or a related field. Demonstrated coursework or projects in data analysis, databases, visualization, and business strategy. Experience with dashboards, reports, or case studies showcasing analytical thinking and visualization skills.

Main Accountabilities

• Data Collection & Preparation: Support ETL processes, maintain data accuracy, clean and validate data.
• Reporting & Dashboard Support: Develop and maintain BI reports and dashboards using Power BI, Denodo, SQL; respond to ad-hoc data requests.
• Data Analysis & Insight Generation: Conduct exploratory analysis, support translation of data into insights, prepare summaries and visualizations.
• Stakeholder Collaboration: Gather requirements, understand business context, communicate findings clearly.
• Documentation & Knowledge Management: Document processes, maintain version control.
• Continuous Learning & Development: Develop technical and business knowledge, participate in training and knowledge sharing, stay updated on industry trends.
• Compliance & Data Governance: Follow privacy, security, and governance policies, ensure outputs are compliant.

Key Competencies

Analytic & Problem-Solving Abilities: Interpret data, identify trends, translate questions into analytical tasks.

Business Acumen: Understand business functions, align analysis with goals, recognize data's impact on decisions.

Soft Skills: Present data effectively, collaborate cross-functionally, adapt to change, pay attention to detail.