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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Key Responsibilities
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.
Minimum Education
A relevant tertiary qualification in Business Administration or Statistics
Grade 12 National Certificate / Vocational
Ideal or Preferred Education
Certification in Business Analysis or Similar
Knowledge and 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
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
Agile project management methodology and experience with tools such as Jira
Data privacy and security regulations and best practices
Design thinking
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)
Skills
Commercial Thinking Skills
Facilitation Skills
Numerical Reasoning skills
Presentation 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.
Capitec Bank is an authorised financial services provider (FSP 46669) and registered credit provider (NCRCP13). Capitec Bank Limited Reg. No: 1980/003695/06