Sandton: Data Analyst

We are looking for an experienced and technically versatile Data Analyst who excels in data interpretation, business insight generation, and technical development. This role requires a deep understanding of data architecture, system design, and AI concepts, combined with the ability to translate complex data into actionable business intelligence. The ideal candidate is self-driven, highly analytical, and comfortable working across multiple disciplines and technologies. Key Responsibilities Perform deep-dive analysis across diverse datasets to uncover trends, anomalies, and business opportunities. Interpret business and project requirements to design meaningful, actionable data solutions. Respond to and manage multiple ad hoc reporting requests , ensuring clarity, accuracy, and relevance. Understand end-to-end data flows , from source systems to reporting layers. Design and maintain data models that support scalable analytics and reporting. Collaborate with stakeholders to translate business needs into technical specifications and reporting frameworks. Develop and optimize data pipelines and integrations using modern development practices. Work with databases such as IBM DB2, Oracle, Netezza (NZ), and Microsoft SQL Server to extract, transform, and analyse data. Support AI/ML initiatives by preparing data and contributing to model development and deployment. Manage own workload and priorities effectively, delivering high-quality outputs independently. Document findings, methodologies, and data logic clearly for both technical and non-technical audiences. Utilize advanced MS Excel skills for data manipulation, analysis, and reporting. Leverage Power BI for dashboard creation, data visualization, and stakeholder reporting. Required Skills & Experience 8 years of experience in data analytics, software development, and systems architecture. Strong proficiency in SQL, Python, and/or R . Expertise in enterprise databases: DB2, Oracle, Netezza (NZ), SQL Server . Solid understanding of data modelling , ETL processes , and system design principles . Experience with cloud platforms (e.g., Azure, AWS, GCP). Familiarity with AI/ML concepts , model lifecycle, and data readiness. Proven ability to work independently and manage multiple priorities effectively. Excellent communication skills, with the ability to bridge technical and business domains. Strong skills in MS Excel (pivot tables, advanced formulas, macros). Exposure to Power BI for data visualization and reporting. Preferred Qualifications Degree in Computer Science, Data Science, Engineering, or related field. Experience with tools like Power BI, Tableau or similar.