BI Business Analyst at IQbusiness

• As the successful candidate you will become part of a continuous learning culture, where learning, mentoring and knowledge sharing is cultivated and encouraged.

Qualifications and Experience

• Relevant Bachelors Degree in Statistics, Finance, Business Management or similar recognised qualification from an accredited tertiary institution
• A minimum of 3+ years’ experience in the business intelligence and systems analysis and data environment
• A minimum of 3+ years’ experience compiling functional specifications and translating user requirements
• Proven experience within BI Business Analysis, data design and systems analysis in a data and analytics environment
• Stakeholder engagement for purpose of identifying and specifying business requirements
• Liaising between business and functional stakeholders
• IDEAL:  Business Information Business Analysis experience in an finance/banking environment
• IDEAL:  Previous exposure to a credit environment

Knowledge:

• Relevant business area knowledge
• Data and analytics Business Analysis 
• Data Warehouse Methodologies
• Front End Technologies 
• BI Best Practice
• Data Analysis
• Data Governance
• Financial systems and procedures
• Visualisation
• Data Product Life Cycle
• Banking systems environment
• Banking business model
• Agile development life cycle 
• Best practices for Quality Assurance (QA)
• Microsoft Appliance (APS)

Skills and Competencies:

• Facilitation Skills
• Communications Skills
• Negotiation skills
• Attention to Detail
• Interpersonal & Relationship management Skills
• Analytical Skills
• Presentation Skills
• Deciding and Initiating Action
• Relating and Networking
• Persuading and Influencing
• Presenting and Communicating Information
• Applying Expertise and Technology
• Delivering Results and Meeting Customer Expectations
• Coping with Pressures and Setbacks

Key outputs:

• Gather business data and analytics requirements.
• Translate requirements to Analytics teams.
• Facilitate the implementation of the Data Product Life Cycle and best practices.

Closing Date 31 May 2023