Senior Data Analyst (12-Month Contract)

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.

• →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

• 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

• 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

• Work on high-impact banking data platforms influencing real business outcomes
• Exposure to modern data architecture and AI-driven initiatives
• Opportunity to operate in a technically diverse, cross-functional environment
• High level of ownership and autonomy within a performance-driven culture

If you are interested in working on data that directly influences business decisions in a leading banking environment, we would love to hear from you. Please submit your CV to rrondi@dearx.co.za or bthusi@dearx.co.za