💻 Data Analyst 📍London (Hybrid, 40% in office) 💸 £Salary + Benefits

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 and user behaviours in order 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 Product Management 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 
• 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!  

The interview process 🚉 

1. Recruiter screen - 30 mins
2. Meet the manager - 30 mins
3. Loop stage - 3 x 30 mins interviews focused on product, technical and stakeholder experience
4. Case study review - 60 minutes