Business Intelligence Business Analyst at Capitec Bank

Purpose Statement


To gather, analyse, and understand business users' data and analytics requirements, and translate these into best-practice technical solutions that meet relevant business objectives. To produce comprehensive business requirements specifications by leveraging domain, technical, and data knowledge, while coordinating collaboration across stakeholders (including Product Lines, Shared Services, and other support teams) within the Capitec Data Estate.


Education (Minimum)


A relevant tertiary qualification in Information Systems


Knowledge and Experience
Minimum

Knowledge:


Data Warehousing on an enterprise level
Cloud data estates (e.g., AWS and Azure)
Cluster computing fundamentals e.g., Big Data
Data Governance and Data Management
Understanding of data protection
Financial systems and procedures
SDLC / DevOps
Conceptual Data modelling
Basic data analysis using SQL (PostgresSQL)
Understanding of the concepts of data visualisation
Software Testing and Quality Assurance
Coaching: principles and practice
Databases and Database design


Ideal:


Banking systems environment
Banking business model
Agile development life cycle
Databases and Database design
Quality Assurance (QA)
Amazon Redshift


Experience

Minimum:


At least 7 years' proven experience within information systems, business intelligence or data warehousing environments
At least 7 years' proven experience in drafting Business Requirement Specifications/Documents and translating requirements between business and functional stakeholders
Experience in 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.
Experience in providing technical coaching to more junior team members as well as leading projects and/or Communities of Practice (COP)
Able to perform data analysis and determine the impact on broader organisational frameworks and objectives
Able to identify and classify data exposure risk from the relevant legislation


Ideal:


Relevant business domain knowledge e.g., credit
Business Information Business Analysis experience in a finance/banking environment