Business Analyst: Data and Analytics

Boardroom Appointments; South Africa; On-site; ZAR 500,000 - 700,000; Full time

Job summary

A leading recruitment agency in South Africa is seeking a Business Analyst specializing in Data and Analytics. This role involves leveraging data to provide actionable insights while collaborating with stakeholders to define business requirements. The ideal candidate has a relevant degree, proven data analysis capabilities, and experience with data visualization tools. Strong skills in MS Office and appreciation for Machine Learning are essential for success.

Qualifications

• Matric.
• Proven ability to analyse data and present recommendations.
• Solid working experience with data and visualization tools.

Responsibilities

• Deliver actionable insights through data analysis.
• Collaborate with stakeholders to identify business requirements.
• Design and develop secure and trusted data models.

Skills

Data analysis

Business intelligence

Data visualization

Stakeholder collaboration

Machine Learning appreciation

Education

Degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics

Post-Graduate degree

Tools

MS Office

Power Platform

Job description

About the job Business Analyst: Data and Analytics

Job purpose:

Responsible for delivering actionable insights by leveraging available data and applying domain expertise. Collaborate with key stakeholders across the various functions to identify business requirements, clean and transform data, design and build data models, and provide business value through easy-to comprehend data visualizations with data storytelling

Minimum requirements:

• Matric
• Degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics
• Post-Graduate degree would be an advantage
• Proven ability to analyse data, generate insights and present recommendations
• Solid working experience with MS Office and Power Platform (or similar visualization tool)
• Appreciation for Machine Learning and AI Technologies
• Turn data insights into action, analyse data to develop insights, pinpoint trends, identify root cause with overall objective of facilitating decision making
• Identify and prepare (clean and transform) data sources required to implement data and analytics initiatives
• Design and develop intuitive, secure and trusted data models
• Identify use cases where machine learning can further augment data
• Identify patterns, trends and key insights using AI, analysis and forecasting features within the business intelligence stack