Data Analyst II - Trips

At data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place, the excitement of the next morning, the friends you encounter, the journeys you take, the sights you see, and the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

From our hubs in Manchester, London and Amsterdam, our Trips Business Unit helps people get where they want to go anywhere in the world. Whether customers want the freedom of a car, the convenience of a flight, the ease of a taxi or the economy of public transport, we make it all possible.

Our team is passionate about helping people travel. They see challenges as opportunities and they're always ready for change. We're invested in making the connected trip work for our customers, offering the best and most relevant products with a booking experience to match. We cater for people that are just starting their research and those that are complementing their existing journey, keeping the customer front of mind in all decisions, tailoring inventory and pricing options to ensure you book the best product for your needs at the best price possible.

This role is for a Data Analyst II, working within the Trips Data Science & Analytics (DS&A) team, reporting directly to the Senior Manager of DS&A in Manchester.

The successful candidate will be involved in various stages of data solutions, from ideation to implementation. You will work independently on data consumption and preparation, effectively solving business problems through data analysis, insight generation and reporting. This role involves looking across the full spectrum of our trips products, considering how we might improve the customer experience by combining data from multiple sources. You are expected to continuously learn, expand your technical competencies, engage with peers, and understand the larger data ecosystem and the goals for Trips as a whole. You are also responsible for ensuring the quality of your work through peer review.

The successful candidate will collaborate with the wider trips DS&A across the trips verticals, helping steer decision making through relevant and actionable data insights and innovative new ways of looking at our business. You will closely collaborate with other analysts, data scientists and machine learning scientists to develop strategic insights, uncover growth opportunities and identify key drivers of booking trends.

• Own the design and delivery of entire Data Analytics solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.
• Work autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value.
• Leverage previous knowledge, experience and substantial skills in data analysis and data visualization to answer business questions efficiently. Create intuitive and insightful visualizations that translate data into actionable insights.
• Identify and manage stakeholders in operational, project-based and managerial roles; communicate effectively, address stakeholder needs, and convey complex analysis results clearly. Begin to guide junior colleagues in stakeholder engagement.
• Adapt existing internal and external Data Analytics approaches, propose and spot opportunities to apply new approaches, and expand technical competencies for more efficient solutions.
• Collaborate with peers in related crafts (e.g., Data Engineering), anticipate data needs to ensure smooth progress of their projects, and ensure quality of own work through peer review.
• Influence business decisions within the product team.

• Master's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar)
• PhD or 3+ years of experience
• Experience solving real problems using data mining techniques with statistical rigor
• Able to weave a narrative when presenting data
• Strong experience of using insights from disparate data sources
• Demonstrates strong ownership, stakeholder management and prioritisation skills
• Strong analytical skills with commercial acumen, ability to find opportunities and threats
• Strong technical skills (Hadoop, R, SQL, Python, Excel)
• Tableau skills would also be beneficial
• Able to balance the need for accuracy and efficiency
• Able to distil and relay complex technical information to a non-technical audience

• Annual paid time off and generous paid leave scheme including parent, grandparent, bereavement and care leave
• Hybrid working with flexible arrangements and up to 20 days per year working from abroad (home country)
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and wallet credit
• Competitive compensation and benefits package

Inclusion has been a core part of our company culture since day one. Our ongoing journey starts with our employees who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

As Chief People Officer Paulo Pisano states: "At the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech."

We ensure colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions and to receive other benefits and privileges of employment.

• Let's go places together: How we Hire
• This role does not come with relocation assistance.

is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.