Purpose Statement

• To gather, analyse, and understand business users’ data and analytics requirements and translate these requirements into analytics best practice technical solutions that meet the relevant business objectives.
• To produce comprehensive business requirements specifications from business requirements leveraging domain, technical and data knowledge, and coordinating collaboration from relevant stakeholders (e.g., own Product Line, Shared Services, and other support teams) in the Capitec Data Estate.

Education (Minimum)

• A relevant tertiary qualification in Information Systems or Business Analysis
• Grade 12 National Certificate / Vocational

Education (Ideal or Preferred)

• Certification in AWS Data Analytics Speciality or AWS Architecture

Knowledge and Experience

Knowledge

Minimum:

• Data Warehousing on an enterprise level
• Data Governance and Data Management
• Understanding of Data Protection
• SDLC / DevOps
• Conceptual Data Modelling
• Performing Data Queries and Data Analysis using foundational SQL / PostgreSQL
• Understanding of the concepts of Data Visualisation
• Software Testing and Quality Assurance (QA)
• Databases and Database Design
• Cluster computing fundamentals (e.g., Big Data)

Ideal:

• Using Visualisation tools for Analysis (e.g., Power BI with DAX, Tableau, SSRS, SSAS, etc. - or similar)
• Cloud data estates (e.g., at least some working knowledge of AWS and/or Azure cloud environments, etc.)
• Dashboards
• Business Process Tool (e.g., Visio, Draw IO, etc.)
• Financial / Banking systems environment, procedures, and business model
• Relevant business domain
• Agile development life cycle
• Design thinking
• Data Profiling
• Excel
• Amazon Redshift
• Coaching: principles and practice

Experience

Minimum:

• At least 5-7 years’ proven experience within Information Systems, Business Intelligence, or Data Warehousing environments
• At least 5-7 years’ proven experience in drafting Business Requirement Specifications/Documents and translating requirements between business and functional stakeholders (stakeholder engagement)
• Business Analysis using various techniques to describe business needs (e.g., conceptual model, ERD, Test Cases, Data Flows, UML Models, Data Dictionary, Business Processes Flows, etc.)
• Providing technical coaching to more junior team members, as well as leading projects and/or Communities of Practice (COP)
• Performing Data Analysis and determining the impact on broader organisational frameworks and objectives
• Identifying and classifying Data Exposure Risk from the relevant legislation
• Project management

Ideal:

• Business Information Business Analysis experience in a Finance / Banking environment
• Architecture

Skills

• Commercial Thinking Skills
• Facilitation Skills
• Problem solving skills
• Analytical Skills
• Communications Skills