KEY OUTCOMES

• Provide business insights through statistical analysis, forecasting, predictive modelling, simulation and optimisation. tIdentify, explore, examine, integrate and scrub data from multiple disparate data sources required tanswer complex business questions.
• Design advanced analytics (quantitative) models that will answer key business questions or discover opportunities for improvement, increased revenue or reduced costs.
• Analyse model results, interpret findings and communicate these findings in commercial terms tBusiness Users sthat the business impact is clearly understood.
• Confidently and clearly communicate analytical results tboth technical and non-technical audiences.
• Recommend solutions for creating revenue and reducing costs/loss based on model results.
• Run and automate regular reporting and operationalise successful models. 
• Establish effective and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business
• Work closely with the Data Analyst(s) tassist in answering complex business problems that require statistical analysis.
• Regularly monitor internal and external customer needs and make appropriate recommendations.
• Remain current with retail industry and Business Intelligence and data trends that will have business strategy implications or can be used tsupport recommendations tcontinually ‘test and learn/ tgenerate value. ·
• Remain current with developments in advanced analytics and methodologies.
• Establish effective and collaborative partnerships with relevant business and IT teams, particularly the BI source systems.
• Remain current with developments in advanced analytics technology and methodologies.
• Monitor and report on the progress of IT management’s remediation of IT audit findings and IT risks.
• Contribute tthe assessment and selection of IT GRC applications, solutions and services

CORE REQUIREMENTS

• Degree in applied statistics, mathematics, operational research, economics, data engineering, risk management (honours or masters degree preferred)
• A minimum of 5 years in advanced analytics and optimisation of which at least 1 -2 years experience must be with the building of data models
• The ability tlook at a model and evaluate it
• Experience with data manipulation and analysis using SAS and SQL skills or equivalent analytical platform skills.
• Experience with Python coding (basic tintermediate skill level)
• Business acumen