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