A Degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research.
Minimum of 3 years of experience.
Strong foundation in Mathematics and Statistics
Proficiency with data wrangling, visualization and modeling in either R or Python is required
Proficiency in one or more database technologies, including SQL and other relational databases, no-SQL, and Time Series databases SQL is a plus
Skills and Knowledge
Good understanding of server & desktop hardware/ operating systems, networks, firewalls and load balances, telecoms, etc.
Cross functional Knowledge
Familiarity with data modelling, including regression models
Good knowledge of Microsoft Windows Server
Good knowledge of Networking technologies and concepts
Familiarity managing some enterprise-class business applications such as: Enterprise resource planning, Human resources management SharePoint, information technology service management, Customer relationship management systems, Content management, document management systems