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 behavior to help the head of analytics to make recommendations to support commercial, marketing, editorial, product, and content decision making
Analyze 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 behavior and make data-led recommendations off the back of the analysis for a number of products, services, or applications
Proven experience working with business and data management teams to translate data requirements into functional specifications to enable the building of data insights
Lead on executing analytics methods and statistical models applied to internal data sources or external primary research such as Brand Imagery trackers, Segmentation, U&A etc…
SKILLS AND COMPETENCIES
Holder of a Bachelor’s Degree in Engineering, Actuarial Sciences, Computer Science, Information technology or related discipline from a reputable University
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
Fluency English and Arabic Language is a must
Knowledge of 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
A passion and curiosity for technology and media and how it is technically delivered via different platforms and screens.
Experience with DMPs and audience segmentation, look-a-like modeling, and audience segment building: rules-based and alga-based.
Comfortable working with multiple and disparate data sources with the know-how to recognized how to work with good data and not just available data.
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)
Experience with cohort analysis to undertake product and consumer usage evaluation in particular to support native app versioning and customer segmentation
Experience using data analysis and profiling techniques to determine data quality issues/trends.
Excellent communication and Excel skills as well as experience supporting online data collection, integrity, and validation.
Driven, self-starter, and comfortable working in a rapidly changing environment
Strong problem solving and decision-making skills
Quantitative analysis skills including multivariate statistical analysis (specifically classification trees, cluster analysis, and regression)
Deep experience doing data analyses against relational databases and a good understanding of relational database management concepts
Proven experience working within environments with a diverse digital media data landscape