The role
We are looking to hire an
Associate Data Analyst to join our Decision Science team in London.
Working at WGSN
Together, we create tomorrow
A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow.
WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you.
Role Overview
We are looking for a strategic, intelligent and commercial individual to provide world class data analysis for our fashion reports. The Associate Data Analyst must demonstrate an understanding in fashion and data analysis which they can combine to enhance and underpin the work that the Content team delivers across fashion. The successful candidate will not only work with our content teams to analyse data and aid in the generation of breakthrough insight and trends for the different products we produce, but also work with our data science team on our forecasting tool Trendcurve AI.
The team
The Decision Science team spans across the UK, US, Singapore, and Spain. We collaborate across all time zones to provide global data insights across Fashion, Beauty, Sports & Outdoor and other verticals.
Key Accountabilities
- Provide high quality and accurate analysis for WGSN‘s Fashion content
- Provide editors with insight on past and future trends, and any 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
- Able to collaborate with data teams 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
- Is accountable for personal objectives and designated KPIs by working within editorial guidelines to achieve objectives and meet deadlines
- Is confident to take an active and vocal role in team meetings, putting forward new ideas and suggestions for data integration
- Responsibility for projects being delivered in brief, in a relevant, insightful and commercially successful manner with data integrity at the core
- Effectively communicate data insights and findings to stakeholders with varying levels of data expertise, promoting education and understanding across diverse audiences
- Act as a bridge between data science and editorial teams
This list is not exhaustive and there may be other activities you are required to deliver.
Skills, Experience & Qualifications Required
- An ability to explain data to people who don’t get it is a must
- Experience in fashion retail/merchandising/buying/e-commerce is a strong advantage
- Ideally at least 1 year of experience in data analyst role
- Creative, commercial, resourceful, innovative & able to cope under pressure
- Ability to analyse large amounts of data and pinpoint trends that will impact the market
- A person that gets things done and a problem solver
- An analytical mind, with the ability to distinguish between what is important and what is not, making the complex simple
- Curious, flexible and a strategic thinker with gravitas that can inspire their clients, peers and more junior colleagues
- Strong communication and organisational skills
- Excellent interpersonal skills comfortable to tackle work within a global team
Technical Experience with:
- Required - Databases (one or multiple): Snowflake, BigQuery, etc
- Ideal - Languages (one or multiple): SQL (must), Python (beneficial), R, Java, etc
- Visualisation (one or multiple): Tableau, Looker, Power BI, etc
- Familiar with general computer use including Microsoft word, excel, PowerPoint and Outlook
- Beneficial to have experience with Statistical modelling / forecasting (Regression, DOE, AB Testing), Databricks & Sprint Planning/Development using JIRA
What We Offer
Our
benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including:
- 25 days of holiday per year - with an option to buy/ sell up to 5 days
- Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness
- Employee assistance programme, season ticket loans and cycle to work scheme
- Volunteering opportunities and charitable giving options
- Great learning and development opportunities
More About WGSN
WGSN is the global authority on consumer trend forecasting.
We help brands around the world create the right products at the right time for tomorrow’s consumer.
Our values
We Are Everywhere
The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere.
We Are Future Focused
We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow.
We Are Rigorous
We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do.
Our culture
An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with.
Inclusive workforce
We are committed to supporting the
environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030.
Recognising great performance is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people.
We have a truly
flexible working environment with a wide range of flexible, hybrid and agile-working arrangements. Conversations about flexible working have always been - and will continue to be - actively encouraged here.
We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require
any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you.
