Data Analyst
Trabalho remoto
DESCRIÇÃO DA VAGA
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
trends
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.
REQUISITOS DA VAGA
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,
etc.
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
INFORMAÇÕES ADICIONAIS
Contrato: CLT
Localização: Remota