Overview

Responsibilities:

  • To develop and manage information to support company decision making
  • To develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • To identify data sources,collect data, source missing data
  • To organise data into usable formats
  • To analyse data to find answers to specific questions
  • To set data infrastructure
  • To develop, implement and maintain databases
  • To structure large data sets to find usable information and identify trends and patterns
  • To prepare reports and complex analyses for appropriate people
  • To manage and improve existing reporting systems
  • To interpret data, analyze results using statistical techniques and provide ongoing reports
  • To create visualisations of data by using dashboards, graphs, infographics and other methods
  • To analyze problems and determine root causes
  • To work closely with all departments and engineering team to develop strategy for long term data platform architecture
  • To provide quality assurance of imported data
  • To establish KPIs to measure the effectiveness of business decisions

Required Qualifications:

  • Bachelor’s degree in Mathematics, Computer Science, Information Technology, or related field
  • 1+ years data analyst or related experience
  • Strong mathematical and analytical skills

 

  • Understanding of reporting & data visualisation tools such as Business Objects, PowerBI and others will be an asset
  • Experience with statistical software (e.g., Stata, SPSS) will be a plus
  • Knowledge of Digital marketing analytics tools including Google 360, Google Analytics, Google Tag Manager and Adobe Marketing Suite
  • Proficiency in statistics, data analysis, and research methods
  • Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications
  • Knowledge of data gathering, cleaning and transforming techniques
  • Ability to carry out data quality control, validation and linkage
  • High-level experience in methodologies and processes for managing large scale databases
  • Strong attention to detail
  • Fluency in  English