At a Glance
- Tasks: Drive insights into product usage and user behaviour to shape impactful strategies.
- Company: Join Trainline, Europe's top rail app, committed to sustainable travel.
- Benefits: Enjoy perks like private healthcare, work-from-abroad options, and generous learning budgets.
- Why this job: Be part of a dynamic team making travel easier and eco-friendly while growing your career.
- Qualifications: 2+ years in analytics, strong SQL skills, and experience with data visualisation tools required.
- Other info: Diversity is celebrated here; we value all forms of difference.
The predicted salary is between 36000 - 60000 £ per year.
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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.
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.
Great journeys start with Trainline
Now Europe’s number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be.
Today, we\’re a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.
Introducing Data Analytics at Trainline
Data Analytics is central to how we build products, delight our customers and grow our business. Our Data Analysts are embedded across cross-functional teams which exist across product and marketing. They work closely with Product Managers, Software Engineers and Commercial and partner directly with Embedded Data Scientists and wider data functions. They have a high degree of autonomy and are empowered to drive the success of their teams by enabling the build, measure, learn cycle.
As a Data Analyst you will be involved in driving insights into product usage, user monetisation and user behaviour to enable us to set an impactful Product strategy and build the right features for our users. You’ll create focus and accountability in teams by setting metrics and goals, ensure we’re learning as we progress through experimentation and ensure we’re feeding insights back in to future decision making. Ultimately this will require a complete obsession with driving impact within the product teams, drawing on a broad range of analytical and statistical techniques to unlock the most benefit.
Data Analytics exists within the wider data organisation as part of the tech org and is complemented by Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. This growing and dynamic data team has an outsized impact on the business outcomes and will provide the opportunity for growth and development for ambitious Data Analysts.
As a Data Analyst at Trainline, you will…
As a Data Analyst you will be responsible for the full feature life cycle in product teams. You’ll work autonomously with PM to:
- Actively drive ideation and design of new feature releases through deep dives into user behaviour
- Influence roadmap prioritisation through opportunity sizing
- Ensure we have the right data tracked to understand product usage
- Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful Understand and deep dive where needed into experimentation results
- Put together dashboards to enable the teams to track the north star metrics for team success
- Define goals in your teams to create the right incentives and accountability in Product teams whilst hustling with your team to hit these ambitious objectives
We\’d love to hear from you if you have…
- 2+ years proven experience using analytics to drive business decisions
- Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management
- Experience of Product engagement evaluation and measurement of success. For example, running AB testing to evaluate product effectiveness or using front end data to quantify the effectiveness of new features and how it changes user engagement
- Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results
- Strong PowerPoint and presentation/communication skills
- Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.
- Strong SQL skills required
- Experience in Python with predictive modelling, regression techniques as well as wider techniques like clustering / random forest is desirable
- Tech Stack: SQL, Python, R, Tableau, AWS Athena + More!
More Information
Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits.
We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!
Our Values Represent The Things That Matter Most To Us And What We Live And Breathe Everyday, In Everything We Do
- Think Big – We\’re building the future of rail
- ️ Own It – We focus on every customer, partner and journey
- Travel Together – We\’re one team
- ️ Do Good – We make a positive impact
We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity – gender, ethnicity, sexuality, disability, nationality and diversity of thought. That\’s why we\’re committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.
Interested in finding out more about what it\’s like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
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Data Analyst - Product employer: Trainline
Contact Detail:
Trainline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Product
✨Tip Number 1
Familiarise yourself with Trainline's mission and values. Understanding their commitment to sustainability and customer experience will help you align your answers during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the Data Analyst role. Consider working on small projects or exercises that demonstrate your ability to manipulate data and derive insights, which you can discuss in interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analytics to drive business decisions in your previous roles. Highlight any experience with A/B testing or product engagement evaluation, as this is directly relevant to the position.
✨Tip Number 4
Network with current or former Trainline employees on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the expectations for the Data Analyst role, giving you an edge in your application.
We think you need these skills to ace Data Analyst - Product
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly focusing on product engagement evaluation and A/B testing. Use specific examples that demonstrate your ability to drive business decisions through analytics.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it aligns with Trainline's mission of creating a greener future for travel. Mention your familiarity with their tech stack, especially SQL and Python, and how you can contribute to their product strategy.
Showcase Your Analytical Skills: Provide concrete examples of past projects where you used analytical techniques to derive insights. Highlight your experience with data visualisation tools like Tableau or Power BI, and how these skills can benefit Trainline's product teams.
Prepare for Potential Assessments: Be ready for possible assessments that may test your analytical skills or knowledge of SQL and Python. Brush up on your technical skills and be prepared to discuss how you've applied them in real-world scenarios.
How to prepare for a job interview at Trainline
✨Understand the Company Culture
Before your interview, take some time to research Trainline's values and culture. They emphasise teamwork, sustainability, and innovation, so be prepared to discuss how your personal values align with theirs.
✨Showcase Your Analytical Skills
As a Data Analyst, you'll need to demonstrate your ability to analyse complex data sets. Be ready to discuss specific examples of how you've used analytics to drive business decisions in your previous roles.
✨Prepare for Technical Questions
Expect questions related to SQL, Python, and data visualisation tools like Tableau. Brush up on your technical skills and be prepared to solve problems or explain your thought process during the interview.
✨Communicate Clearly
Trainline values clear communication, especially when distilling complex analysis for various stakeholders. Practice explaining your past projects and findings in a straightforward manner that anyone can understand.