Data Analyst

Role: Data Analyst Location: South West London Salary: £35-40kWe are seeking a highly motivated Data Analyst to join our team. The successful candidate will be responsible for collecting, analysing, and interpreting data to help drive strategic and operational decisions across the business. This role involves working closely with teams across Sales, Marketing, Finance, and Operations to deliver actionable insights that improve business performance and efficiency.Key Responsibilities for the Data Analyst;* Extract, clean, and analyse data from our booking system to uncover trends, patterns, and insights.* Build and maintain dashboards and reports using tools such as Power BI, Tableau, or Excel.* Develop and implement data-driven solutions and strategies to optimise business performance.* Provide data-driven recommendations to stakeholders and support strategic initiatives.* Collaborate with different departments to define data requirements and KPIs.* Support forecasting, budgeting, and performance monitoring processes.* Ensure data accuracy, integrity, and consistency across systems.* Automate repetitive reporting tasks and improve data processes where possible.* Inventory Management - Analysing and managing the company's inventory is a crucial aspect of the role. This will include various divisions of products we have and operate.* Create visualisations, reports, and dashboards to effectively communicate findings to management.Skills & Experience Required as Data Analyst;* Proven experience as a Data Analyst or similar analytical role.* Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data.* Proficiency in SQL and data visualisation tools (e.g. Power BI, Tableau).* Advanced Excel skills, including pivot tables and complex formulas.* Experience with data cleaning, modelling, and business intelligence reporting.* Strong attention to detail and problem-solving skills.* Excellent communication skills - able to present findings clearly to non-technicalstakeholders.* Knowledge of Python or R for data analysis is desirable but not essential.* Experience within the travel, tourism, or hospitality sector is an advantage.* Revenue and Yield Management experience beneficial but not a requirement.* Knowledge and of Dynamic Pricing.If you feel the above Data Analyst specification matches your professional background, click apply.