Business Intelligence Analyst [BI Analyst]

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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:

1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. 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.