Graduate Analyst - Business Intelligence
Job in
Benoni, 1501, South Africa
Listed on 2026-10-12
Listing for:
Placements24
Full Time
position Listed on 2026-10-12
Job specializations:
-
IT/Tech
Data Analyst, Business Intelligence, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
About the Role
Our client is seeking talented and analytical graduates to join their Business Intelligence team in Benoni . This role offers a unique opportunity to work with large datasets, transforming raw information into actionable insights that drive strategic business decisions. You will be involved in developing reports, dashboards, and data visualizations using industry-leading tools. We are looking for individuals with a strong quantitative aptitude, a curiosity for data, and a desire to learn and grow in the field of business intelligence.
This position provides excellent exposure to data analysis techniques and their application in a real-world business context.
- Assist in the collection, cleaning, and organization of data from various sources.
- Develop and maintain reports and dashboards using business intelligence tools (e.g., Power BI, Tableau).
- Analyze data to identify trends, patterns, and anomalies, providing insights to stakeholders.
- Support the creation of visualizations to effectively communicate complex data findings.
- Collaborate with business units to understand their data needs and reporting requirements.
- Assist in documenting data processes and methodologies.
- A Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills, with a passion for working with data.
- Proficiency in Microsoft Excel; experience with SQL is highly desirable.
- Familiarity with business intelligence tools like Power BI or Tableau is a plus.
- Excellent communication skills, both written and verbal.
- Eagerness to learn new technologies and analytical techniques.
- Competitive starting salary and opportunities for advancement.
- Comprehensive training in data analysis and business intelligence tools.
- Exposure to diverse business challenges and data-driven decision-making.
- Hybrid work environment supporting work-life balance.
- Health and retirement benefits package.
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