Analytics Engineer II at Capitec Bank

Purpose Statement

• We’re looking for an Analytics Engineer who thrives at the intersection of data engineering and analytics. In this role, you’ll help transform complex data into accessible, reliable, and high performing data models that power meaningful business decisions. You’ll collaborate closely with Data Engineers, Data Analysts, Data Architects, Data Modelers, and business stakeholders, translating analytical needs into scalable data assets that are easy to use, reliable, and built for growth.

What you’ll be doing

• Bridge the gap between raw data and actionable insights by designing well structured, trusted data models.
• Partner with stakeholders to understand analytical requirements and turn them into practical, value driven solutions.
• Work alongside Data Architects and Data Modelers to ensure data solutions align with enterprise standards and long term strategy.
• Design and build efficient, reusable data assets, including:
• Data models and data marts
• Semantic layers
• Scalable transformation pipelines
• Analyst friendly working environments
• Apply software engineering best practices to analytics, including CI/CD, testing, and automation.
• Productionise reports and data products to ensure performance, consistency, and reliability.

Minimum Experience

• Experience in analytics engineering or closely related data roles.
• A proven track record of delivering scalable data solutions and contributing to or leading end to end data projects.
• Hands on experience with CI/CD processes, testing frameworks, and orchestration tools such as Airflow (or similar).
• Confidence applying engineering principles to analytical and reporting environment
• Strong understanding of data modelling best practices.
• Knowledge of data governance, quality assurance, and trusted data design.
• Experience working with cloud-based data platforms and orchestration tools (e.g. Airflow, Prefect).
• Solid grounding in software engineering principles, including CI/CD, testing, and version control.
• An Honours degree in Analytics, Engineering, STEM, or a related field plus at least 5 years’ relevant experience

OR

• A Bachelor’s degree in Analytics, STEM, or a related field plus at least 8 years’ relevant experience

OR

• Equivalent experience, with 8+ years’ relevant experience and/or relevant professional certifications

Qualifications (Minimum)

• Bachelor's Degree in Analytical/Data/Technical or Other

Qualifications (Ideal or Preferred)

• Honours Degree in Analytical/Data/Technical or Engineering - Other

Knowledge
Advanced grasp of:

• Data modelling best practices.
• Data governance and quality assurance.
• Cloud data platforms and orchestration tools (e.g., Airflow, Prefect).
• Understanding of software engineering principles (e.g., CI/CD, testing).

Skills

• Analytical Skills
• Communications Skills
• Planning, organising and coordination skills
• Problem solving skills
• Reporting Skills