Overview

This position requires a strong command of data processing and deployment techniques, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present these findings to an audience with varying levels of background in analytics.

  • Interpret data, analyze results 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, analyze, and interpret trends or patterns in complex data sets
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Identify and acquire necessary data from multiple sources and organize/clean the information to enhance operational data quality
  • Implement ways to improve data reliability, efficiency and quality
  • Discover opportunities for data acquisition
  • Automate interdependent data pipelines

Requirements:

  • 1 -2 years of working experience in data engineering / business data analyst
  • University degree in Mathematics, Economics, Computer Science, Information Management or Statistics
  • Knowledge of statistics and experience using statistical packages for analyzing datasets
  • Analytical mindset and detail-oriented with ability to focus and prioritize demanding workload
  • Self-motivated, organised individual, able to work independently

An attractive remuneration package will be offered to the successful candidate according to qualifications and experience.

If you are interested for the position please submit your CV to [email protected] and mention on the subject the reference CYDA23

Each application will be treated in the strictest confidence.

Please note that only shortlisted applications will be contacted.