ABOUT US:

We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.

WHAT WE’RE LOOKING FOR

We’re seeking a curious, analytical, and collaborative individual who loves working with data and improving how tech teams operate.

Work closely with Engineering, Product, and Data teams to understand requirements, surface the right metrics, and communicate insights clearly.

• Continuous Improvement

WHAT YOU’LL BE DOING

Trainlines Technology & Data teams represent the company’s most significant area of investment as we continue to build upon our market positioning of being Europe’s most downloaded travel app. As we strive to push the boundaries of what’s possible for our users innovating is at the core of how we think and what we do and as Technology and Data teams we continue to challenge ourselves to transform every day and optimise for velocity, quality and costs leveraging emerging technological trends.
As part of this mission we are seeking a detail-oriented and data-driven Tech Operations Analyst as part of our Technical Operations team. This role is pivotal in driving operational excellence through data analysis, performance monitoring, and tool optimisation. You will work closely with cross-functional teams to leverage tools such as Jira, Tableau and other data sources, developing dashboards and insights that inform decision-making and enable the establishment of performance baselines.

YOUR KEY RESPONSIBILITIES WILL INCLUDE:

• Data Analysis & Reporting:

Analyse operational data from tools like Jira, Plandek, and OKR platforms to identify trends and inefficiencies. Build dashboards (e.g., Tableau) that provide clear, actionable insights.

• Tool & Process Management:

Optimise Jira usage across teams — from custom field management to workflow configuration — ensuring it aligns with OKRs and supports transparency.

• OKR & Baseline Tracking:

Partner with leadership to define, track, and report on OKRs. Help establish performance baselines to improve forecasting and capacity planning.

• Cross-Functional Collaboration:

Work closely with Engineering, Product, and Data teams to understand requirements, surface the right metrics, and communicate insights clearly.

• Continuous Improvement:

Proactively identify ways to enhance our data quality and streamline operational processes. Stay up to date on best practices in analytics and tooling.