Business Intelligence Business Analyst at Capitec Bank Ltd

Sandton, Gauteng, South Africa -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehousing, Cloud Data Estates, Big Data, Data Governance, Data Management, Data Protection, SDLC, DevOps, Data Analysis, SQL, Data Visualization, Software Testing, Quality Assurance, Coaching, Database Design

Industry

Banking

Description

Join Us in Becoming the Best Bank in the World!! We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.Who We Are We are a bank, but we’re much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable, and delivered through a personal experience. By helping our clients manage their financial lives better, we enable them to live better. Why choose Us At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow. Purpose Statement To gather, analyze and understand business users’ data and analytics requirements and translate these into analytics best practice technical solutions that meet business objectives. To produce comprehensive business requirements specifications by leveraging domain, technical and data knowledge, and coordinating collaboration across stakeholders in the Capitec Data EstateEducation (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 Additional Information Clear criminal and credit record

Responsibilities

Gather, analyze, and understand business users’ data and analytics requirements. Translate these into analytics best practice technical solutions that meet business objectives.