At a Glance
- Tasks: Analyse commercial data to drive insights and support product and marketing teams.
- Company: Join Lyst, a leading tech platform transforming fashion shopping globally.
- Benefits: Enjoy a clothing allowance, mentorship, and a vibrant team culture.
- Other info: Work in a dynamic environment with opportunities for growth and inclusivity.
- Why this job: Be part of a passionate team pushing boundaries in fashion e-commerce.
- Qualifications: Numerate degree or strong commercial experience; Excel/SQL skills required.
The predicted salary is between 28800 - 48000 £ per year.
Lyst is a technology platform that revolutionises the way people shop for fashion. We connect millions of consumers globally with the world's leading fashion designers and stores, giving them a simpler, more engaging and more effective shopping experience. Lyst has grown over 300% every year since launch in 2011 and has raised over $60M from top-tier investors.
We are looking for a BI Data Analyst to join our BI and Strategy team. We need this person to help us make sense of our commercial data sets and deliver insights that will help answer commercial questions we face every day.
Your role will be varied and challenging and it includes:
- Assisting others in the company run data queries using our internal BI tool, Looker, and helping them to understand the results.
- Mining and presenting Web Analytics data to understand likely causes for changes in revenue on the site.
- Tracking, identifying issues and advising Product Managers and Digital Marketing teams on what changes to make to campaigns or products in advance of trends becoming problems.
- Running A/B and Multivariate tests to analyse performance of various products.
- Helping us understand the profitable and less profitable sections of the website.
- Analysing patterns behind fashion sales (possibly some predictive modelling).
- Estimating likely returns from changes in strategy.
You will enjoy a good level of autonomy and be comfortable taking the initiative to find solutions when product feature data indicates a downturn. You should ideally have studied a highly numerate degree, although this is not a necessity if you have great commercial experience. You should be comfortable with an advanced level of Excel / SQL and may have dabbled with Python / R in your own time as an added bonus, but this is certainly not necessary. You should also be comfortable using BI tools like GA Premium, Looker, or Tableau.
You will be working with a passionate and expert team that loves to push the boundaries of the fashion ecommerce space, and you will also be trained and mentored to grow as the business does. We care deeply about helping the industry become a more inclusive and diverse place and we work hard to lead by example. You'll also get a nice clothing allowance to spend via the site.
BI Analyst in London employer: Lyst
Lyst is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for innovative marketers looking to make a significant impact in the fashion industry. With a focus on employee growth and development, Lyst offers unique opportunities to engage with diverse stakeholders while driving full-funnel marketing strategies in a vibrant London setting, renowned for its rich fashion heritage. Join us to be part of a forward-thinking team that values creativity and results, all while enjoying the benefits of working in one of the world's fashion capitals.
StudySmarter Expert Advice🤫
We think this is how you could land BI Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Lyst on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a BI Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data analysis projects, especially those involving BI tools like Looker or Tableau. When you get the chance to chat with the team, share your insights and how you've tackled similar challenges in the past.
✨Tip Number 3
Be ready to discuss trends! Brush up on the latest fashion e-commerce trends and how data analytics plays a role in shaping strategies. This will show that you're not just a numbers person but also understand the industry context.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Lyst team. Don’t miss out on this opportunity!
We think you need these skills to ace BI Analyst in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let us know how much you love working with data! Share any cool projects or experiences you've had that show off your analytical skills and how they relate to the fashion industry.
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored specifically for the BI Analyst role. Highlight relevant experience with BI tools like Looker or GA Premium, and don’t forget to mention any experience with SQL or Excel!
Be Clear and Concise:We appreciate clarity! When describing your past experiences, be concise and focus on the impact of your work. Use bullet points to make it easy for us to read through your achievements.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who follow the process!
How to prepare for a job interview at Lyst
✨Know Your Data Tools
Familiarise yourself with BI tools like Looker, GA Premium, and Tableau. Be ready to discuss how you've used these tools in the past to analyse data and present insights. This will show that you can hit the ground running.
✨Understand the Fashion Industry
Do some research on current trends in the fashion e-commerce space. Being able to discuss how data impacts sales and marketing strategies in this industry will demonstrate your genuine interest and understanding of Lyst's business.
✨Prepare for Technical Questions
Brush up on your SQL and Excel skills, as well as any experience with Python or R. Expect questions that test your analytical thinking and problem-solving abilities, especially around data queries and A/B testing.
✨Showcase Your Communication Skills
Since you'll be working with various teams, practice explaining complex data insights in simple terms. Prepare examples of how you've effectively communicated findings to non-technical stakeholders in previous roles.
