Job Description :
This will involve (but is not limited to):
Develop, maintain, and track predictive models which are used in VAS campaigns to select the appropriate leads to maximise profit
Assist in the development of forecasting models using various statistical modelling and machine learning techniques
Provide analytical support to the VAS business stakeholders by translating business problem into analytical problem
Derive business insight from analysing data and effectively present results
Manage relationship with stakeholders and communicating effectively
Ensure appropriate statistical methodology and data mining / analytical techniques are used in the modelling process to deliver and deploy robust and effective models
Extract data accurately and timeously - proficient in coding in SAS or SQL and experience with working with complex database structures
Documentation of strategy (as well as test results), adhering to agreed documentation standards
Appropriately engage with internal and external stakeholders to improve the operating level of the portfolio
Research and implement contemporary machine learning techniques
To take up this challenging position you should have:
An honours degree in Mathematics or Statistics
At least 3-5 years' experience in an analytical position providing predictive and prescriptive solutions to business
Experience in using data analysis software packages (SQL, SAS, R, Python)
Experience with machine learning techniques such as optimisation, logistic regression, linear regression, decision trees, K-means, cluster analysis etc
Good strategic and conceptual abilities
Excellent data analysis, analytical and problem-solving skills
Forecasting and reporting experience
High attention to detail
Excellent documentation and verbal communication skills
