Financial Data Analyst – BI & FP&A
Nivoda
ETLPythonSQLTableau
Salary
💰 £50,000 - £60,000 per year
Job Level
JuniorMid-Level
Tech Stack
PythonSQLTableau
About the role
- Trainline: European rail app enabling travellers to find and book tickets across carriers and fares
- Data Analytics central to product, embedded across cross-functional product and marketing teams
- Drive insights into product usage, user monetisation and user behaviour to set product strategy
- Create focus and accountability by setting metrics, goals, and feeding insights into decision making
- Own the full product analytics lifecycle in an embedded product team
- Deep-dive into user behaviour, uncover friction points, and size opportunities
- Define north star metrics, primary KPIs, and guardrails for features and experiments
- Design, execute and analyse A/B tests using sound statistical principles (MDE, power, duration, etc)
- Translate findings into clear, actionable recommendations to help drive product strategy
- Build data models and pipelines with support from Data Engineering and Data Scientists
- Collaborate with Design and UX to understand how changes impact customer experience
Requirements
- 2+ years experience in a Product Analytics or embedded analytics role
- Strong, hands-on SQL skills: joining multiple event-level datasets, building funnels, writing efficient queries
- Experience with A/B testing: hypothesis design, metric selection, test analysis (including power/MDE)
- Proven ability to partner cross-functionally with Product, Engineering and Design
- Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.
- Strong SQL skills required
- Ability to communicate insights clearly and tailor messages for both technical and non-technical audiences
- Comfortable working in ambiguity, prioritising impact, and owning decisions
- Bonus: Experience using Python for analysis, experimentation workflows or automation
- Bonus: Familiarity with dbt, Looker, or similar modern data tools
- Bonus: Experience with mobile or consumer web products
