Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative discipline from a recognised institution.
Minimum of five (5) years of experience in Data Analytics, Business Intelligence, or Data Science.
Comfortable working across the analytics stack, from data analysis and BI reporting to model building.
Strong proficiency in R and/or Python, advanced SQL, and applied statistics, including inference, hypothesis testing, regression, and experimental design.
Strong understanding of machine learning techniques and algorithms, including model selection, validation, and optimisation.
Experience working with relational databases, data warehouses, and large datasets, including both structured and unstructured data.
Experience building dashboards and reports using tools such as Power BI, Tableau, or equivalent.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud is an added advantage.
Strong analytical, problem solving, communication, and stakeholder management skills.
GK
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