Full Time

Data Analytics Specialist

Posted 1 year ago

Job Description

The Company:

The client is a multi-platform, Arabic-language news service with headquarters in the U.A.E. The platform will provide Arabic-speaking audiences around the world with news

Key Responsibilities: 

  • The role will be responsible for digital & traditional media measurement with reporting analytics on external primary data sources
  • Champion digital insights with a deep understanding of drivers of audiences, content and technology usage of digital platforms
  • Be able to segment digital media audiences and audience usage behaviour to help the Director make recommendations to support commercial, marketing, editorial, product and content decision making
  • Analyse churn, and customer source / loss as well as marketing effectiveness
  • Comfortable to deal with aggregate data as well as individual customer level data sets and systems
  • Support the director of digital & Director of news with data fusion / Data mining and root cause analysis of changes in customer behaviour, and make data-led recommendations off the back of the analysis for a number of products, services or applications

Skills Required:

  • Minimum 4 years of experience working in data centric projects in either a data analyst or data architect role working with digital media data or equivalent
  • Knowledge with data visualization software (Tableau, Business objects, Qlick)
  • Deep experience in doing data analyses using Structured Query Language (SQL) – google big query experience is a plus
  • Knowledge in Data Fusion (Mapping similar profiles)
  • Core Traditional research skills supported with technical big data know how skills such as SPSS, SAS, Excel Macros along with SQL
  • Advanced skills in SPSS or similar statistical analytical software in particular multivariate data analysis and data coding along with standard crosstab, cluster and correspondence (academic experience or through verifiable work experience)
  • Quantitative analysis skills including multivariate statistical analysis (specifically classification trees, cluster analysis, and regression)