- Interpret data, analyse results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyse, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
Requirements
- Proven working experience as a data analyst or business data analyst
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong SQL skills, including experience in querying large, complex data sets
- Strong knowledge of statistics and experience in using statistical packages for analysing datasets with Excel
- Primary experience with programming languages for data sciences like Python or R is a plus
- Strong analytical skills with the ability to collect, organize, analyse, and disseminate a significant amount of information with attention to the detail and accuracy
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics
- Ideal Age: 24-34
_ Fluent in English