Data Analyst

Trabalho Remoto



Provide high quality and accurate analysis for WGSN‘s content and consulting work, based on an
understanding of one or more of the following categories that WGSN covers:
o Global fashion market, the operations of its key players, the trading calendar and fashion
o Beauty industry, Food & Drink, Lifestyle & Interiors trends  
o Consumer insights, key trends and drivers
 Provide clients with insight on future strategies and growth opportunities
 Conduct primary and secondary research across a variety of quant data sets and deliver analysis
that provides actionable recommendations that will benefit the client's future business
 Tackle the challenge of extracting business intelligence from large data sets. Ability to see beyond
the numbers
 Proactively suggest ways to visualise complex data sets, generating charts/tables that give
insightful views of key business issues and opportunities
 Able to collaborate with the Mindset team in region and across territories to ensure consistency of data analysis across the company 
 Is a strong participant and contributor to the creation, sharing and learning culture to provide
inspiration and relevant information for the benefit of the global Editorial team’s deliverables
 Responsibility for projects being delivered on brief, in a relevant, insightful and commercially
successful manner with data integrity at the core
This list is not exhaustive and there may be other activities you are required to deliver.


Experience in fashion retail/merchandising/buying/e-commerce is a strong advantage
 Understanding of syndicated data warehousing platforms and custom reporting
 Ability to analyse large amounts of data and pinpoint trends that will impact the market
 An analytical mind, with the ability to distinguish between what is important and what is not,
making the complex simple  
 Strong communication and organisational skills with ability to tackle work within a global team
 Curious, flexible and a strategic thinker with gravitas that can inspire their clients, peers and more
junior colleagues
 Analytic Experience in:
o Statistical modelling / forecasting (AB Testing, DOE, Regression, etc.)
o Forecasting (ARIMA, ETS, etc.)  
o Data mining (Bayes, CART, Random Forest, SVM, Neural Nets, Clustering, etc.)
o Operations Research (Simulation, Linear / Dynamic Programming, etc.)
o Segmentation/Persona Development & Analysis
 Technical Experience with:
o Databases (one or multiple): Snowflake, Big Query, Redshift, SQL, Access, Oracle, Hadoop,
o Languages (one or multiple): SQL, Python, R, Java, Octave, etc.
o Analytic software (one or multiple): Jupyter, Zeppelin, Qubole, Alteryx, KNIME,
RapidMiner, Orange, etc.
o Visualization (one or multiple): Tableau, Spotfire, Qlik, DB3/JS, LOOKER, Power BI
o Segmentation typing tool development and implementation
o Familiar with general computer use including Microsoft Word, Excel, PowerPoint and
Outlook and/or Google Docs, Sheets, Slides, and Gmail