Data Analyst

Data Analytics is central to how Trainline builds better products, supports its partners and grows its business. As a Data Analyst within Enterprise Solutions, the B2B arm of Trainline's Partner Solutions Data Analytics Team, the role is embedded across cross-functional teams spanning product, commercial and industry initiatives. The Data Analyst works closely with Embedded Data Scientists, Product Managers and commercial colleagues to structure analytical approaches, interpret findings and translate complex data into insight that informs product strategy and partner-facing solutions. The role uses data-driven insight to improve how rail travel is sold, delivered and experienced. The company operates a hybrid model, asking Trainliners to work from the office a minimum of 60% of their time over a 12-week period.

Responsibilities

Analyse partner and customer behaviour to inform the development of enterprise and retail solutions; Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences; Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions; Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets; Collaborate across Data, Product and Design to ensure insight is embedded into decision making from early exploration through to delivery; Help define how we measure success across TPS products and partner solutions; Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management; Support the development of innovative retail and enterprise solutions that help shape the future of rail

Requirements

Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement; Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis; Some experience using AI to responsibly accelerate your coding for analysis, as well as basic automation of day-to-day work processes; The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations; Experience communicating insight to a range of audiences, including senior stakeholders, partners and colleagues from technical and non-technical backgrounds; Strong data visualisation skills, ideally using Python or tools such as Tableau, Power BI, or similar; A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on; Strong organisational skills, with the ability to manage multiple analytical work streams and balance competing priorities

Nice to have

You may also have experience with DBT or modern data transformation workflows

Benefits

Private healthcare and dental insurance; Generous work from abroad policy (28-day Work from Abroad policy); 2-for-1 share purchase plans; EV Scheme; Extra festive time off; Family-friendly benefits; Clear career paths; Transparent pay bands; Personal learning budgets; Regular learning days