At a Glance
- Tasks: Use data analytics to create personalised guest experiences and drive business strategies.
- Company: Join lululemon, a leader in innovative performance apparel with a focus on community.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Be part of a fun, innovative team that values connection and personal responsibility.
- Why this job: Make a real impact by shaping data-driven strategies in a dynamic retail environment.
- Qualifications: 4+ years in data analytics, strong SQL skills, and experience with Python or R.
The predicted salary is between 36000 - 60000 £ per year.
Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we’re in. As a company, we focus on creating positive change to build a healthier, thriving future. That includes creating an equitable, inclusive, and growth‑focused environment for our people.
About The Team We are built on the core philosophy of fostering authentic and strong relationships with our guests (customers). The CRM & Analytics team is a newly formed area of the Digital function which is responsible for delivering impactful guest insights to support the EMEA business strategy. This role will use data and analytics to support the business in defining personalised experiences across our segments and shaping data‑driven strategies to increase loyalty. You will also feed into the development of CRM initiatives, reporting, and cross‑functional education on guest behaviour.
A Day In The Life (Responsibilities)
- Apply analytics and data science to customer and marketing data to support meaningful guest experiences
- Lead end‑to‑end analysis and reporting projects through identifying opportunities, defining appropriate methodologies, conducting analysis, and creating deliverables complete with data‑driven recommendations
- Partner with internal stakeholders to understand guest strategy, evaluate ad‑hoc business questions and propose analytical solutions to further knowledge of guest behaviour
- Visualise and communicate concise insights with leadership across the organisation
- Build customer‑centric reporting to standardise the measurement of marketing effectiveness and overall business performance
- Feed into quarterly and annual forecasting to support financial planning
- Contribute ideas to the roadmap for sustained growth of data analytics at lululemon
- Work with data engineering teams to improve data quality and define new requirements for the EMEA region
Who You Are (Qualifications)
- 4+ years’ experience working in data analytics (or a similar technical role), preferably in the retail or fashion industry
- Deep knowledge of SQL for data analysis
- Knowledgeable in a statistical language (Python or R) using relevant packages (e.g. ggplot, tidyverse, scikit‑learn, causal impact, Prophet)
- Comfortable with data manipulation and ETL tools, such as dbt, databricks, snowpark, airflow, etc
- Experience using data visualisation tools such as PowerBI or Tableau
Must Haves
- Acknowledge the presence of choice in every moment and take personal responsibility for your life.
- Possess an entrepreneurial spirit and continuously innovate to achieve great results.
- Communicate with honesty and kindness and create the space for others to do the same.
- Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
- Foster connection by putting people first and building trusting relationships.
- Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.
Senior Data Analyst employer: LULULEMON
At lululemon, we pride ourselves on being an exceptional employer that champions innovation and personal growth within a vibrant and inclusive work culture. As a Senior Data Analyst in our EMEA team, you will have the opportunity to leverage your analytical skills in a dynamic environment that values collaboration and creativity, while contributing to meaningful guest experiences. With a commitment to employee development and a focus on building strong community connections, lululemon offers a unique workplace where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at lululemon. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data analysis projects. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Be ready for the interview! Research lululemon’s values and think about how your experience aligns with their mission. Bring examples of how you've used data to drive decisions and improve guest experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the lululemon family.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data analytics shine through! We want to see how your experience aligns with our mission of creating meaningful guest experiences. Share specific examples of how you've used data to drive insights and make an impact.
Tailor Your Application:Make sure to customise your application for the Senior Data Analyst role. Highlight your relevant skills in SQL, Python, or R, and mention any experience you have in the retail or fashion industry. This helps us see how you fit into our team and culture!
Be Clear and Concise:We appreciate clarity! When detailing your experience and skills, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read and understand your qualifications quickly.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our innovative team at lululemon!
How to prepare for a job interview at LULULEMON
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and languages mentioned in the job description, like SQL and Python. Prepare to discuss specific projects where you've applied these skills, as this will show your practical experience and understanding of data-driven strategies.
✨Understand the Company Culture
Familiarise yourself with lululemon's values and mission. They emphasise community, connection, and innovation, so think about how your personal values align with theirs. Be ready to share examples of how you've fostered relationships or contributed to a positive work environment in your previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies related to guest behaviour. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to communicate insights effectively.
✨Show Your Passion for Growth
Lululemon is looking for someone with an entrepreneurial spirit who embraces innovation. Be prepared to discuss how you've driven growth in past roles and share ideas on how you could contribute to the roadmap for data analytics at lululemon. This will highlight your proactive mindset and commitment to continuous improvement.
