Business Intelligence Analyst III [BI Analyst III]

Purpose Statement

• To build value for the product line by solving client and business challenges using data. 
• To utilise data and analytical skills and experience to build insights which enable senior decision makers to make better, informed decisions faster.

Education (Minimum)

• A relevant tertiary qualification in Business Administration or Statistics

Education (Ideal or Preferred)

• Certification in Business Analysis or Similar

Knowledge and Experience

Minimum:

Experience:

• At least 5+ years’ experience in a similar business intelligence analyst role 
• Experience and knowledge of the ETL (extraction, transform, load) data flow
• Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data 
• Experience in analysing complex data sets to solve business challenges  
• Experience in working with data on cloud platforms, such as AWS or Microsoft Azure 
• Experience in building data visualisations using tools such as Power BI 
• A good understanding of database management, data warehousing, data mining and data visualisation. 
• Experience with stakeholder engagement  inc. senior management
• Experience in data quality and incident management  
• Understanding of agile project management and experience with tools such as Jira 
• Qualty assuring and oversight of the work of others.

Knowledge:

• Understanding of agile project management and experience with tools such as Jira 
• Knowledge and experience in using complex SQL to prepare and analyse data
• Knowledge and understanding of data privacy and security regulations and best practices 

Ideal:

• Probably experience as a business intelligence analyst within the Banking sector 
• Knowledge of change management principles and practices
• Knowledge and experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker  
• Knowledge and experience in change management methodology (ADKAR)  
• Knowledge and experience in lifetime value analysis, propensity modelling, journey mapping, and root cause analysis
• Applied knowledge of User Experience (UX) reviews through customer interactions a customer, product services 
• Knowledge and experience in automation using software robots built on platforms such as UiPath or Alteryx 
• Programming/Coding: Ability to use scripting languages such as Python or R for data analysis and manipulation
• Basic knowledge and experience is using Version Control (Git) 

Skills

• Commercial Thinking Skills
• Facilitation Skills
• Numerical Reasoning skills
• Presentation Skills
• Problem solving skills

Additional Information

• Clear criminal and credit record