Senior Data Analyst (12-Month Contract) at DeARX Services (Pty) Ltd

• 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