Data Analyst

Role overview

Help develop a modern data capability by turning information from across the business into reliable analysis and useful reporting. Working with the data team and colleagues in other functions, you’ll support operational, commercial, and product decisions through careful data preparation, clear communication, and actionable insights.

Responsibilities - Gather, clean, and analyse information from multiple sources. - Help ensure datasets are accurate, consistent, and dependable. - Build and maintain data models, dashboards, and reports. - Work with stakeholders to clarify their questions and reporting needs. - Identify trends and patterns, then present findings to technical and non-technical audiences. - Contribute to data-focused initiatives and solutions across the business. - Keep current with analysis tools and good practice.

Requirements - Degree or equivalent practical experience in a quantitative field, such as mathematics, statistics, computing, or software engineering. - At least two years in a data analyst or similar role. - Proficiency in SQL and Excel, plus Python, R, or another analytical programming language. - Understanding of data modelling and statistical analysis. - Experience creating dashboards or visualisations with a tool such as Tableau, Power BI, or Looker Studio. - Strong analytical, problem-solving, communication, and detail-oriented skills.

Nice to have - Experience with Databricks or a comparable data platform. - Familiarity with agile work, documentation tools such as Confluence, or education technology. - Experience using AI tools to improve analysis, reporting, or workflow efficiency.

Benefits and work setup - Flexible work schedules and time off, health and wellness benefits, and bonus opportunities are described. - Development programs and opportunities for career growth are offered.