Manchester - Data Analyst I
Role Description:
About Us:
At Booking.com, 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.
Role Description:
As a Data Analyst I, you will be working within the Cars Data Science & Analytics team and you will be involved in various stages of data analytics solutions, from ideation to implementation. You will be working on data consumption and preparation, effectively solving business problems through statistical data analysis and insight generation.This role involves interpreting experimental data to guide business decisions, uncovering new opportunities, and engaging with stakeholders across the product & engineering orgs. As a Data Analyst I you are expected to continuously learn, expand your technical competencies, engage with peers, and understand the larger data ecosystem and the goals for Cars.
You are also responsible for ensuring the quality of your work through peer review.
The successful candidate will collaborate with our product teams, helping steer decision making through experimentation support and actionable data insights. You will be closely collaborating with other data scientists & analysts to develop strategic insights, uncover growth opportunities, and identify key drivers of booking trends.In particular this candidate will support teams that own several key areas of our site and therefore have the potential to help mold the future state of our business.
Join us and help us solve critical business problems and questions, to help users plan and book their best trip in the most seamless way possible.
Key Job Responsibilities and Duties:
- Responsible for owning the design and delivery of parts of Data Analytics solutions based on business requirements, contributing to bringing them from the initial idea-generation phase to implementation with some supervision.
- Responsible for working independently on consuming data, preparing it for analytical use and translating business problems to data stories. Can ask for guidance on more complex tasks.
- Responsible for working within the scope of their team and delivering work that informs business decisions for the product / business topic they currently work on.
- Responsible for leveraging foundational skills in data analysis and data visualization to answer business questions. They incorporate stakeholder requirements when creating intuitive and insightful visualizations that translate data into actionable insights.
- Responsible for connecting and collaborating with stakeholders in operational and project-based roles under the guidance of a manager. Uses effective communication to address their needs and presents data insights in an accessible, business-friendly manner.
- Responsible for being flexible in adopting existing internal Data Analytics approaches and expanding their technical competencies when a more efficient way presents itself.
- Responsible for growing their own craft skills while leveraging Data Analytics for impact on well defined business problems.
- Responsible for supporting junior peers when opportunity presents itself through knowledge sharing and setting a good example.
- Responsible for networking and proactively connecting with craft peers beyond the team's scope.
- Must be familiar with the larger data ecosystem at Booking and how it relates to the work they do.
- Responsible for connecting with peers in related crafts (ie. Data Engineering) as needed on specific projects to ensure successful outcomes.
- Must have high level knowledge about the goals of their area (ie. track / vertical).
- Responsible for ensuring quality of their own work by validating it through peer review.
Qualifications & Skills:
- Driven and results-oriented personality
- Open to feedback and always looking for ways to improve performance
- Analytical and curious mindset
- Strong interpersonal skills including an open and friendly attitude
- Able to understand details while keeping an eye on the bigger picture
- Previous experience with AB testing
- Experience in data analysis, data management, and data visualization
- Proficiency in data analysis languages (e.g., R, SQL, Python) and visualization tools (e.g., Tableau, Data Studio, PowerBI, Mixpanel)
Benefits & Perks - Global Impact, Personal Relevance:
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave- Hybrid working including flexible working 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 Booking.com wallet credit
Diversity, Equity and Inclusion (DEI) at Booking.com:
Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, 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 that 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.
Application Process:
- Let’s go places together: How we Hire
- Your recruiter will be in touch to discuss the hiring process with you and interview stages to expect
- This role does not come with relocation assistance.
We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.