Main Activities
Interacts with product and service teams to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources.
Providing hands-on support as required in formulating a coherent cross-business approach and strategic/tactical plan for big data initiatives.
Learning, adopting and leveraging data science best practice to delivery quantitative improvements to the analytics and process modelling functions.
Working with massive and complex data sets from multiple sources, utilising big data tools and techniques for the purposes of analysing, providing insight and validating hypotheses.
Performing deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates.
Translating analytical insights into concrete, actionable recommendations for business, process or product improvements.
Making recommendations for the collection of new data or the refinement of existing data sources and storage.
Developing best practice guidelines for instrumentation and experimentation.