Data Analyst

hace 1 día

Madrid, España Trainline plc A tiempo completo

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 £5.3 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, 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, Berlin, Madrid, and Brussels. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.

Job Description

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 into 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:

  1. Actively drive ideation and design of new feature releases through deep dives into user behaviour
  2. Influence roadmap prioritisation through opportunity sizing
  3. Ensure we have the right data tracked to understand product usage
  4. Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful
  5. Understand and deep dive where needed into experimentation results
  6. 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
Qualifications

We'd love to hear from you if you have...

  1. 2+ years proven experience using analytics to drive business decisions
  2. Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management
  3. 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
  4. Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results
  5. Strong PowerPoint and presentation/communication skills
  6. Experience in Python with predictive modelling, regression techniques as well as wider techniques like clustering / random forest is desirable
  7. Tech Stack: SQL, Python, R, Tableau, AWS Athena + More
The interview process
  1. Meet the manager - 30 mins
  2. Loop stage - 3 x 30 mins interviews focused on product, technical and stakeholder experience
  3. Case study review - 60 minutes
Additional Information

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, 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 every day, in everything we do:

  1. Think Big- We're building the future of rail
  2. Own It- We focus on every customer, partner and journey
#J-18808-Ljbffr

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