Responsibilities

• Analyse data and build reports and dashboards to support decision-making across the Finance department and the wider business.
• Help develop and maintain data models, transformations and business-ready datasets for reporting and analytics.
• Optimise SQL queries and data structures for performance, clarity and reusability.
• Contribute to data quality and governance by supporting validation processes, monitoring and data documentation.
• Identify opportunities to automate manual data and reporting tasks, and communicate findings in clear business language.
• Collaborate with colleagues across the organisation and the wider group’s data teams on proof-of-concepts and continuous improvement initiatives.

Required Skills & Qualifications

• A bachelor’s or master’s degree in Data Science, Computer Science, Applied Mathematics, Engineering, AI, Business Analytics, Physics or a related field.
• 0 – 3 years of relevant experience are encouraged to apply.
• Strong SQL skills and experience with relational databases, data modelling and ETL/ELT processes.
• Experience with a cloud data platform. Snowflake is preferred, but experience with other platforms is also welcome.
• Knowledge of Python, dbt or Power BI is a plus.
• Strong analytical, problem-solving and documentation skills, with the ability to translate technical concepts into business value.
• A curious mindset, a willingness to learn and an interest in exploring new approaches.
• Fluency in English.