Data Scientist
3 weeks ago
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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
- Research / Data Analysis jobs
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