Job purpose:
Design and implement processes and solutions associated with a wide variety of data sets used for data/text mining, analysis to support informed business decisions Gain insight into key business and deliverables by examining structured and unstructured data from multiple disparate sources Effectively use current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via the information available for analysis Learn to use data, statistical and quantitative analysis, to drive decision making
Accountabilities
· Import, clean, transform, validate data from RDBMS (Oracle, Teradata) with the purpose of understanding or making conclusions from the data for decision making
· Able to transform large volume data into information and information into insight
· Answer business questions by using appropriate statistical techniques on available data to improve key success metrics related to yield management and revenue generation
· Produce a variety of reports, graphs, summaries and presentations that convey analytic results and align with business needs
· Recommend and implement process improvements for timeliness, relevance and presentation
Qualifications & Specifications
· Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics & statistics Master’s degree in relevant specification will be first preference
· Experience of at least 2 - 4 years of analytics, informatics and statistics
· SAS programming experience, eg SAS Enterprise Guide, SAS Enterprise miner; advanced macro development and reporting skills
· Expert in SQL; Experience in using RDBMS: Oracle, SQL Server, Teradata
· Exposure to programming and scripting languages like Java, JavaScript, Python, HTML
· Exposure to BI and visualization tools like Tableau, Spotfire, D3js
