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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
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Once you have completed the above, finalize your application by clicking apply below.
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.
Productionise insights to be consumed across team (focus on building reusable data assets).
To build an understanding of various business domains and relevant products, to address queries and execute analytical tasks.
Education (Minimum)
A relevant tertiary qualification in Business Administration or Statistics.
Grade 12 National Certificate / Vocational.
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 or equivalent Data role (Data Analyst, etc.); including experience in Data Analytics, BI methods and tools, Data Warehousing, and the Data Product Life Cycle.
A good understanding of Database Management and Data Mining.
ETL (extraction, transform, load) data flow, and traceability.
Analysing, identifying, quantifying, and subsequently delivering value on how to solve business challenges using complex data sets.
Building Data Visualisations using tools such as Power BI.
Stakeholder engagement (including Senior Management).
Experience in data quality and incident management.
Quality assuring and oversight of the work of others.
Advanced SQL skills: Using complex SQL to prepare and analyse data (e.g., indexes, query plans, foreign key constraints, common table expressions, etc.).
Coding skills and performing code reviews.
Documentation (going to stakeholders and doing documentation - running projects).
Business requirements / requirements gathering.
Modelling.
Dashboards.
Minimum Knowledge
Agile project management methodology and experience with tools such as Jira.
Data privacy and security regulations and best practices.
Design thinking.
Dimensional Modelling.
The Data Product Life Cycle (DPLC).
Data management.
Ideal Experience / Knowledge
Previous experience working as a Business Intelligence Analyst / Data Analyst / Business Analyst within the Banking / Financial sector.
Strong programming/coding: Ability to use scripting languages such as Python or R for data analysis and manipulation.
Working with data on Cloud platforms (such as AWS or Microsoft Azure).
Change management principles and practices, and change management methodology (ADKAR).
Using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker.
Lifetime value analysis, propensity modelling, journey mapping, and root cause analysis.
User Experience (UX) reviews through customer interactions / product services.
Automation using software robots built on platforms such as UiPath or Alteryx.
Basic knowledge and experience in using Version Control (Git).
Having relevant industry certifications (e.g., CompTIA Data+; Certified Analytics Professional (CAP); Associate Certified Analytics Professional (aCAP); Google Data Analytics Professional Certificate; Microsoft Certified; Power BI Data Analyst/Associate; and/or AWS Certified Data Analytics).
Mentoring colleagues.
Skills
Commercial Thinking Skills.
Facilitation Skills.
Numerical Reasoning skills.
Presentation Skills.
Problem solving skills.
Attention to Detail.
Planning, organising and coordination skills.
Communications Skills.
Interpersonal & Relationship management Skills.
Additional Information
Clear criminal and credit record.
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.
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