Business Intelligence Analyst III [BI Analyst III]

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 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. 

About the role

• 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.

Our ideal candidate has:

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

Education (Minimum)

Education (Ideal or Preferred)

Skills

Additional Information