Senior Data Analyst

Are you passionate about data and eager to contribute to the success of a top-tier company? We're working with a renowned leisure and hospitality group that owns some of the UK's most iconic theme parks and attractions. They are on the lookout for a talented Data Analyst to join their team, playing a key role in driving data-driven decision-making across multiple locations. In this role, you'll be the backbone of centralising and consolidating data from 19 different parks spanning 8 countries. You'll be responsible for cleaning and enriching data from various systems, automating processes, and developing dynamic dashboards that will directly impact key business strategies. What You'll Be Doing: Integrating and centralising data from a wide range of systems (ERP, ticketing, and operational platforms) used across 19 locations into one streamlined reporting framework. Cleaning, enhancing, and preparing datasets using Python and SQL in a centralised database. Developing automated data pipelines to maintain data accuracy and ensure seamless reporting. Analysing data to extract actionable insights and identifying trends to guide decision-making at both the local and organisational levels. Designing interactive dashboards and reports using tools like Power BI, providing valuable insights to teams ranging from operations to finance. Working closely with finance teams, site managers, and key stakeholders to understand their unique data needs and deliver customised reporting solutions. Providing data-driven recommendations to support the organisation's strategic growth and ambitious expansion goals. Collaborating with an international data team, particularly those in France, to ensure best practices are shared and implemented globally. What We're Looking For: A data enthusiast with 3-5 years of experience in a data analysis or data science role. Proficiency in Python and SQL for data manipulation and advanced analysis. Strong experience with business intelligence tools such as Power BI, Tableau, or QlikView. Exceptional problem-solving skills and a sharp analytical mindset. Excellent communication skills, with the ability to work across multiple departments and manage stakeholder expectations. A solid understanding of data engineering concepts, including experience in data modelling and visualisation best practices. Familiarity with cloud-based data platforms like AWS, Microsoft Azure, or Google Cloud. A degree in a quantitative field (e.g., Data Science, Statistics, Mathematics) is highly desirable. Why This Role? This is a unique opportunity to be part of an innovative team within an industry-leading company, where your contributions will directly influence their future success. You'll have the chance to automate data processes, create insightful reports, and make a real impact across multiple departments. Plus, you'll be supporting the company's exciting growth and expansion plans by delivering critical data insights that will shape strategic decisions. ADZN1_UKTJ