We are seeking an experienced, technically versatile Data Analyst to join a high-performing banking environment in Sandton. This role is suited to a data professional who thrives at the intersection of data analytics, system design, and emerging AI capabilities.
You will play a key role in transforming complex datasets into meaningful business insights, while also contributing to the development of scalable data solutions and supporting AI/ML initiatives. This is an opportunity to work in a fast-paced, delivery-driven environment where data directly impacts strategic decision-making.
Key Responsibilities
Perform deep-dive analysis across complex and diverse datasets to identify trends, anomalies, and business opportunities
Translate business and project requirements into actionable data solutions and insights
Manage and deliver multiple ad hoc reporting requests with accuracy and efficiency
Analyse and understand end-to-end data flows, from source systems to reporting layers
Design, build, and maintain scalable data models to support analytics and reporting needs
Collaborate with business stakeholders to define technical specifications and reporting frameworks
Develop and optimise data pipelines, integrations, and data processing workflows
Work across enterprise databases including IBM DB2, Oracle, Netezza (NZ), and SQL Server
Support AI/ML initiatives through data preparation, validation, and contribution to model development
Independently manage workload, priorities, and delivery timelines
Document data logic, methodologies, and findings for both technical and non-technical audiences
Utilise advanced MS Excel capabilities for data analysis and reporting
Develop insightful dashboards and reports using Power BI
Required Skills & Experience
8+ years' experience in data analytics, software development, or systems architecture
Strong programming skills in SQL, Python, and/or R
Proven experience working with enterprise databases: DB2, Oracle, Netezza, SQL Server
Solid understanding of data modelling, ETL processes, and system design principles
Experience with cloud platforms such as Azure, AWS, or GCP
Working knowledge of AI/ML concepts, including data preparation and model lifecycle
Strong analytical thinking and problem-solving ability
Ability to work independently and manage multiple priorities effectively
Excellent communication skills, with the ability to translate between technical and business stakeholders
Advanced proficiency in MS Excel (pivot tables, complex formulas, macros)
Experience building dashboards and visualisations using Power BI
Preferred Qualifications
Degree in Computer Science, Data Science, Engineering, or a related field
Experience with additional visualisation tools such as Tableau or similar
Exposure to modern data engineering practices and tools