Data Solutions Analyst III at Capitec Bank

Purpose Statement

• This role exists to bridge business strategy and data delivery.You will work closely with business and technology stakeholders to understand data and analytics needs, translate them into robust data warehouse and Lakehouse solutions, and ensure a single, reusable enterprise data foundation that supports multiple use cases—from reporting and dashboards to advanced analytics.
• You will play a key role in shaping enterprise data architecture, embedding governance and standards, and enabling high‑quality, trusted data that drives business decision‑making.

What you will be doing :

• Gather, analyse, and translate business data and analytics requirements into fit‑for‑purpose data warehouse and Lakehouse solutions
• Guide enterprise architecture discussions, anticipating current and future data needs with scalability in mind
• Drive consistency in metadata, definitions, and standards across the organisation
• Embed data governance principles into all deliverables
• Lead cross‑functional teams from a data perspective, improving collaboration across delivery iterations
• Oversee end‑to‑end testing, ensuring enterprise‑wide validation and sign‑off
• Reduce post‑production data defects through strategic planning and quality assurance
• Apply strong business acumen to anticipate the downstream impact of data decisions
• Influence stakeholders across departments and advise on BI strategy and data visualisation best practices
• Connect BI outputs to strategic business performance management

Knowledge and Experience
Minimum Experience:

•  8-10+ years of experience translating business needs into technical solutions, with deep expertise in data architecture, SQL, data modeling, ETL, and data analysis—combined with strong cross-functional collaboration and leadership in delivering high-quality, cloud-based data solutions.
• Including at least 5 years of leadership and mentoring experience, including guiding Communities of Practice, conducting industry research, and promoting continuous learningUses SQL to Audit and validate data at an enterprise level, large data sets. 
• Guides architecture discussions based on business needs. Anticipate future data warehouse needs. (scalability)
• Drives enterprise consistency in metadata, definitions and standards
• Embeds governance principles in all deliverables
• Leads cross-functional teams from a data perspective.  Improves team collaboration across iterations
• Oversees end to end testing.  Ensures enterprise wide validation and sign off. Minimize post production data defects through strategic planning
• Possesses cross functional business acumen.  Anticipates business impacts of data decisions.  Influences stakeholders across departments. 
• Advises on BI strategy and data visualisation best practices.  Connects Bi outputs to strategic business performance management. 

Knowledge:

• Banking, telecommunications and financial services
• Quantifying business value from data
• Data Architecture including concepts of data warehousing and Lakehouse
• Data warehousing including concepts of data sources, data ingestion, data marts, ETL (extract, Transform and Load processes), dashboards and reporting, advanced analytics and predicative modelling
• Project management and Agile Methodologies
• Data governance and data management
• Cross functional facilitation
• Leading a Community of Practice
• Strategic planning and oversight of complex data projects
• Research and best practice
• Setting standards
• Driving innovation and change
• Leading analysis of large and complex projects including establishing new components, data migration and measuring success
• Mentorship

Skills

• Analytical Skills
• Commercial Thinking Skills
• Communications Skills
• Facilitation Skills
• Problem solving skills