Strong business acumen in relation to analytics, having had experience within at least one business area function (e.g marketing, sales, finance, workforce, procurement etc.)
Extensive experience in handling large, complex datasets
Passionate about analytics and insight, including staying up-to-date with the latest trends and technologies
Strong understanding of machine learning techniques and algorithms or decision science domains (eg. clustering, decision trees, logistic regression, basket analysis, optimization, simulation) to deliver rapid business insight
Proven programming experience in one of Python, R, Go, SQL or similar
Proven experience using Excel
Exceptional analytical ability and are able to solve unstructured problems involving large amounts of quantitative data with a structured and hypothesis driven approach
Experience in adapting your communication style to help translate complex technical information to audiences unfamiliar with the technologies
Ability to learn and understand new technologies, techniques and tools
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