Data Analyst

Company: Trainline
Apply for the Data Analyst
Location: London
Job Description:

Overview

In this role you will drive evidence-based decision making by analysing customer behaviour and performance to inform rail initiatives. You’ll work within the Retail Innovation team, collaborating with data scientists and cross-functional partners to shape new ticketing approaches. Expect to translate complex analyses into clear insights for internal teams and external partners, while building dashboards to monitor impact. This is an opportunity to contribute to sustainable travel and the growth of Trainline’s data-driven product roadmap.

Pay / Benefits

  • private healthcare & dental insurance
  • work from abroad policy
  • 2-for-1 share purchase plans
  • EV Scheme to reduce carbon emissions
  • extra festive time off
  • family-friendly benefits

Responsibilities

  • Analyse customer behaviour, revenue and usage patterns to evaluate new initiatives and industry programmes
  • Support the design and evaluation of trials and pilots to measure their impact
  • Translate complex analyses into clear insights and recommendations for internal teams and external stakeholders
  • Produce high-quality analytical deliverables and presentations for senior stakeholders and external partners
  • Work closely with Data Scientists to structure analytical approaches and interpret results from large and complex datasets
  • Build dashboards and reports to help teams and partners monitor the impact of initiatives and new programmes
  • Collaborate with cross-functional teams across data, product, commercial and external partners to ensure insights inform decision making
  • Help shape how we measure success for new ticketing approaches and industry innovations

Key requirements

  • Proven experience using analytics to drive business decisions and answer complex commercial questions
  • Strong ability to structure analysis and communicate insights clearly to both technical and non-technical audiences
  • Experience presenting analytical findings to senior stakeholders
  • Strong SQL skills and experience working with large datasets
  • Strong data visualisation skills using tools such as Tableau, Power BI, or similar
  • Experience navigating complex or ambiguous datasets to derive actionable insights
  • Excellent communication and storytelling skills with the ability to produce polished deliverables
  • Strong organisational skills and the ability to manage multiple analytical workstreams
  • Experience working with dbt or modern data transformation workflows
  • Experience analysing experiments, pilots or trials
  • Excellent communication and storytelling
  • Strong organisational skills
  • Ability to collaborate across cross-functional teams
  • SQL
  • Tableau
  • Power BI

…

Posted: October 2nd, 2026