Salary: £40,000 - 50,000 per year Requirements: 3 years of experience in a data analyst role Proven expertise in Power BI—developing dashboards, managing datasets, and using DAX (Data Glossary) Familiarity with version control for data code Proficiency in SQL and experience with relational databases Strong programming skills in Python or Scala for data processing Understanding of data modelling concepts and best practices Experience working with large multi-field datasets sourced from multiple sources Knowledge of other visualization tools (e.g., Looker, Tableau) is a plus Strong problem-solving skills and attention to detail along with excellent communication and collaboration skills Ability to work cross-functionally and communicate complex data in a clear, actionable manner Responsibilities: Develop interactive reports and dashboards using Power BI. Support commercial teams to analyze large datasets to uncover trends, patterns, and actionable insights. Develop dashboards and reports using Power BI or Looker. Translate business requirements into technical solutions and analytical models. Communicate findings to technical and non-technical audiences. Partner with stakeholders to define KPIs, metrics, and reporting requirements. Perform exploratory data analysis and ad hoc reporting. Provide actionable recommendations based on data trends and findings. Where possible, develop machine learning techniques to identify trends and findings. Technologies: DAX Support Looker Machine Learning Power BI Python SQL Scala Tableau Airflow AWS Azure BigQuery Business Intelligence Cloud GCP dbt More: We are a high-growth travel firm located in Blackpool, known for our innovative, energetic, and collaborative culture. We offer a competitive salary of £40,000 - £50,000, pension, 25 days of holidays with the opportunity to purchase more, and regular training and development opportunities. Our team is dedicated to continuous learning and enjoys working in a fast-paced startup environment. This role is office-based, and you must live locally to commute. last updated 11 week of 2026