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.
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?
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