Data Analyst
About Us
Club L London are the next-generation online retailer refining accessible luxury for forward-thinking women worldwide. Delivering timeless and trend-oriented styles in sizes 4-20 for every life moment, we design proudly in-house in the UK; with premium quality, exceptional fit and affordable style at the forefront.
Collaboration, communication and curiosity drive our extraordinary workforce – an ambitious team of diverse, experienced and up-and-coming talents that we think you’d fit right into.
A role at Club L is more than a job, it’s a lifestyle for the innovative, inspired and intuitive thinker.
The Role
We are seeking a detail-oriented and analytical Mid-Level Data Analyst to join our dynamic team. The ideal candidate will have a strong background in SQL, Power BI, and Excel, with a passion for turning complex data into actionable insights. Experience with BigQuery, Python, and eCommerce analytics will be a significant advantage.
Key Responsibilities
· Analyse large datasets to identify trends, patterns, and actionable insights.
· Develop and maintain dashboards and reports using Power BI and Excel.
· Write efficient SQL queries to extract, manipulate, and analyse data.
· Collaborate with cross-functional teams to understand data requirements and deliver insights.
· Support data-driven decision-making by presenting findings to stakeholders.
· Ensure data accuracy, integrity, and security across all analysis processes.
· Optimize data models and reporting structures for scalability.
Key Skills and Experience
· Proficiency in SQL for data extraction and manipulation.
· Hands-on experience with Power BI for data visualization and reporting.
· Advanced Excel skills, including pivot tables, complex formulas, and data analysis tools.
· Strong analytical and problem-solving abilities.
· Excellent communication and presentation skills.
Nice to Haves
· Experience with Google BigQuery for cloud data analysis.
· Knowledge of Python for data analysis and automation.
· Previous experience in an eCommerce environment.
· Familiarity with A/B testing and digital marketing analytics.
· Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
What's on offer?
- Bi-annual bonus scheme
- 25 days of annual leave (plus bank holidays)
- Extra day off for your birthday
- Flexible working hours around core hours of 10-4
- Cycle to work scheme
- 40% staff discount
- Healthcare Cashplan
- Free onsite gym
- Social events
- Department
- Tech
- Locations
- Manchester HQ
- Employment type
- Full-time
Manchester HQ
Perks & Benefits
-
Benefit 1
Flexible Working Hours and Early Finish Fridays
-
Benefit 2
40% Staff Discount
-
Benefit 3
Annual Bonus Scheme
Empowered People Empower People
Our employees are our greatest asset – each bringing unique and diverse skills with a collective ambition to drive the brand forward. Nurturing up-and-coming talent in a meritocratic environment that promotes collaboration, communication and curiosity, every natural entrepreneur has an opportunity to thrive no matter their level of experience in luxury fashion. As well as young talent, we’re proud to champion highly innovative and inspirational women, with 64% occupying leadership roles across marketing, creative, customer service and design sectors just to name a few. Our people-first approach is what makes a career at Club L London different and since the start, we’ve taken pride in our incredible teams who share our resilience, confidence and passion.
About Club L London
Founded in 2007 Club L was created with the vision of offering long-lasting luxury styles, trend-oriented collections with a twist and unique, statement designs that offer both exceptional quality and fit in an otherwise saturated market of fast-fashion and throw away goods.
Accessible luxury through considered purchasing, limited edition collections that leave no wastage and responsible and ethical manufacturing are at the heart of the brand, world-renowned for its premium fabrications, inclusive sizing and affordable price points.
Data Analyst
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