Johannesburg: Senior Data Analyst

Role Summary: The Senior Data Analyst will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across the organisation. This role requires a strong analytical mindset and proficiency in data visualisation. The ideal candidate will bridge the gap between data and business. Responsibilities: Develop and maintain dashboards and reports to support business operations and strategic decisions. Perform ad-hoc analysis to answer key business questions. Apply best practices in data, aggregation, and visualisation to ensure performance and scalability Support the creation of extractors and data views for integration with third-party vendors Ensure the consistency and security of shared data while maintaining traceability and compliance Collaborate with data engineers to ensure data pipelines are optimised for reporting and analytics. Ensure data quality, integrity, and governance across systems. Support data science initiatives by preparing datasets and contributing to model development. Identify opportunities to apply AI/ML to improve business processes. Work closely with business units to understand data needs and translate them into technical requirements. Present insights and recommendations to non-technical stakeholders. Identify and implement improvements in BI processes, tools, and methodologies. Qualifications: Matric and a Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field 8 years of experience in business intelligence, reporting, or data analysis Proven experience with BI tools (e.g., Power BI, Tableau, Qlik, SAP BusinessObjects BI Suite) Strong SQL skills and experience with data warehousing solutions. Familiarity with data engineering concepts (ETL pipelines, data lakes) and cloud platforms (like Azure, AWS, or GCP). Proficiency in data modelling, reporting tools, and visualisation techniques Strong SQL or Python/R skills and experience with SAP environments Understanding of data governance, quality checks, and performance optimisation Advantageous: Advanced degree (Masters or equivalent) in Data Science, Business Analytics, or related field Experience working with SAP BW/4HANA Understanding of AI/ML concepts and their application in business contexts Exposure to data science tools and languages (e.g., Python, R, Jupiter Notebooks)