Position: Data Analyst We invite a proactive and capable Data Analyst to lead and execute within a collaborative, agile environment. The incumbent will operate in a structured yet agile environment that prioritises quality and professional growth. Key Responsibilities: Maintain and optimise databases, data warehouses, and cloud-based data environments. Collect, process, and analyse large datasets using statistical and machine learning methods. Document data architecture, lineage, and metadata management practices comprehensively. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Apply predictive and prescriptive analytics to solve complex business challenges. Develop and validate machine learning models ensuring scalability and production readiness. Present analytical findings to technical and non-technical stakeholders with clarity. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Qualifications and Requirements: Proven ability to manage competing priorities in a deadline-driven, dynamic environment. Demonstrated proficiency with industry-standard tools, platforms, and methodologies. Experience collaborating within cross-functional teams and matrix organisational structures. Minimum 35 years of progressive professional experience in a comparable role. A bachelor's degree or higher in a relevant field; postgraduate qualifications are an added advantage. Excellent verbal and written communication skills; fluency in English is essential. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This is an outstanding opportunity for a motivated professional to advance their career within a reputable organisation.