Position: Senior Analytics Consultant, Decision Analytics (Data Engineering) A dynamic organisation seeks an experienced Senior Analytics Consultant, Decision Analytics (Data Engineering) to take on a multifaceted and impactful role. This position offers the opportunity to work with a diverse, cross-functional team in a results-oriented culture. Main Accountabilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Develop scalable data engineering pipelines to ingest, transform, and serve data. Implement data quality monitoring and automated alerting frameworks for pipelines. Publish insights, model performance reports, and data science findings to leadership. Collaborate with engineering teams to embed analytics and AI into core product workflows. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Build A/B testing frameworks and experimentation infrastructure for product teams. Design data models and schemas optimised for analytical and high-performance workloads. Essential Skills and Experience: Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Strong project management capabilities with experience in agile or structured methodologies. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Collaborative, proactive, and able to operate effectively with minimal supervision. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Superior writing and communication skills with experience preparing executive-level documents. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Candidates who meet the above requirements are encouraged to submit their detailed CV at the earliest opportunity.