Graduate BI Analyst: Data Insights & Dashboards (Hybrid)

Placements24; Benoni; Hybrid; ZAR 180,000 - 300,000; Full time

Benefits offered by this job

Hybrid work

Health benefits

Retirement plan

Training program

Job summary

Placements24 is seeking dedicated graduates to join its Business Intelligence team in Benoni. You will work with large datasets, transforming raw information into actionable insights that drive strategic decisions.

The role involves building reports, dashboards, and data visualizations using BI tools, with a chance to learn and grow in the field. Ideal candidates have a strong quantitative background, excellent communication, and a willingness to develop skills in data analysis and

Qualifications

• Bachelor’s degree in a quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel; SQL desirable.
• Familiarity with BI tools like Power BI or Tableau is a plus.
• Excellent written and verbal communication skills.
• Eagerness to learn new technologies and analytical techniques.

Responsibilities

• Assist in data collection, cleaning, and organization from various sources.
• Develop and maintain reports and dashboards using BI tools.
• Analyze data to identify trends, patterns, and anomalies.
• Create visualizations to communicate findings effectively.
• Collaborate with business units to understand reporting needs.
• Document data processes and methodologies.

Skills

Analytical thinking

Data visualization

SQL

Excel

Communication

Education

Bachelor’s degree in Statistics/Mathematics/Economics/Computer Science

Tools

SQL

Power BI

Tableau

Job description

Placements24 is seeking dedicated graduates to join its Business Intelligence team in Benoni. You will work with large datasets, transforming raw information into actionable insights that drive strategic decisions.

The role involves building reports, dashboards, and data visualizations using BI tools, with a chance to learn and grow in the field. Ideal candidates have a strong quantitative background, excellent communication, and a willingness to develop skills in data analysis and