Business Analyst: Data and Analytics

Boardroom Appointments

Durban

On-site

ZAR 350,000 - 520,000

Full time

14 days+
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Job summary

Boardroom Appointments in Durban is seeking a Business Analyst: Data and Analytics to deliver actionable insights by leveraging available data and applying domain expertise. You will collaborate with stakeholders across functions to identify business requirements, clean and transform data, design data models, and provide business value through clear data visualizations with data storytelling.

Experience with MS Office and Power Platform, plus an appreciation for machine learning and AI

Qualifications

  • 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.

Responsibilities

  • Deliver actionable insights by leveraging available data and applying domain expertise.
  • Collaborate with key stakeholders across functions to identify business requirements, clean and transform data, design data models, and provide business value through data visualizations with storytelling.
  • Identify use cases where machine learning can further augment data.

Skills

Data analysis
Data visualization
Power Platform
MS Office
AI technologies
Data storytelling
Stakeholder collaboration

Education

Degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics
Post-Graduate degree would be an advantage

Tools

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

  • 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
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