At a Glance
- Tasks: Analyse data to drive insights and support product and marketing teams.
- Company: Join a fast-growing tech platform revolutionising fashion shopping.
- Benefits: Competitive salary, clothing allowance, and mentorship opportunities.
- Other info: Dynamic environment focused on inclusivity and diversity.
- Why this job: Be part of a passionate team shaping the future of fashion ecommerce.
- Qualifications: Strong analytical skills, experience with Excel/SQL, and great communication.
The predicted salary is between 35000 - 45000 £ 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 including Accel, DFJ, Balderton and the teams behind LVMH, Michael Kors and Oscar de la Renta.
We are looking for a BI Data Analyst to join our BI and Strategy team. We're looking for an Analyst, comfortable with understanding key product drivers and metrics to dive into our commercial data sets in order to better inform our product, commercial and engineering teams. We have lots and lots of data, in fact we record nearly 100 million lines of data a day just from the website interactions, and we need this person to help us make sense of it and deliver the insight that will help answer commercial questions we face every day.
In this role you will join our team of Product Managers, Analysts, Data Scientists and data engineers and work hand in hand with them to deliver reports and analysis to a huge range of internal stakeholders. 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 on trends becoming problems!
- Running A/B and Multivariate tests to analyse performance of various products.
- Help 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'll enjoy a good level of autonomy and be comfortable taking the initiative to find solutions when product feature data indicates a downturn. You'll ideally have studied a highly numerate degree - although this is not a necessity if you have great commercial experience. You'll be comfortable with an advanced level of Excel / SQL and maybe you'll have dabbled with Python / R in your own time as an added bonus, but certainly not necessary! You'll be comfortable using BI tools like GA Premium, Looker, or Tableau. You'll be a great communicator, comfortable working directly with engineers, product teams, marketing groups, partnerships teams and more in your current role. You'll know how to best prioritise your problems in order to focus on the biggest issues.
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 employer: Lyst
Lyst is an exceptional employer, offering a dynamic work environment where innovation meets fashion technology. As a BI Analyst, you'll be part of a passionate team dedicated to pushing the boundaries of e-commerce, with ample opportunities for personal and professional growth through mentorship and training. Enjoy unique benefits like a clothing allowance while contributing to a company that values inclusivity and diversity in the fashion industry.
StudySmarter Expert Advice🤫
We think this is how you could land BI Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Lyst!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace BI Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Lyst, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Lyst
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Lyst’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
