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