At a Glance
- Tasks: Analyse data to drive insights and support product and marketing strategies.
- Company: Join Lyst, a leading fashion tech platform transforming shopping experiences.
- Benefits: Enjoy a clothing allowance, mentorship, and a vibrant team culture.
- Other info: Dynamic environment with opportunities for growth and inclusivity.
- Why this job: Make an impact in the fashion industry with data-driven decisions.
- Qualifications: Strong analytical skills, experience with Excel/SQL, and a passion for fashion.
The predicted salary is between 29700 - 36300 £ per year.
Company Description
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.
Job Description
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.
Qualifications
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.
Additional Information
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!
Summary
Type: Full-time
Function: Analyst
Experience level: Associate
Industry: Apparel And Fashion
Consulente Microsoft BI in London employer: Lyst
At Lyst, we pride ourselves on being an exceptional employer, fostering a dynamic and innovative work culture that empowers our software engineers to thrive. With a focus on collaboration and autonomy, our team enjoys the freedom to tackle complex challenges in a fast-paced environment while utilising cutting-edge technologies. We offer ample opportunities for professional growth, including participation in industry events and open-source projects, making Lyst an ideal place for those looking to make a meaningful impact in the world of fashion technology.
StudySmarter Expert Advice🤫
We think this is how you could land Consulente Microsoft BI in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Consulente Microsoft BI in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lyst, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lyst. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lyst
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lyst!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
