Data Analyst

Job Description

BookingGo - Insight Data Analyst

We're BookingGo, the ground transport division of Booking.com. We're the ones who empower people to get where they're going. Whether they're taking the wheel or sitting back and leaving it to the driver. Whether they're heading straight from A to B or enjoying the freedom to go wherever their journey takes them.

To do that, we offer car hire to our customers through our Rentalcars.com brand and car hire, taxis and ticketed transfer services through Booking.com. We also have a B2B solution, Rentalcars Connect, providing great ground transportation options to the customers of our partners

With our HQ in Manchester, we're part of the worldwide Booking.com family. At the same time, we're proud of our own unique identity. Speaking 42 languages, our 2,000+ staff come from all over the world, just like our customers. What brings us together is our love of adventure: our own as well as other people's. It's easy to be passionate about a job that enriches so many lives on a daily basis, and our workplace reflects our passion, our diversity, our global focus. Just search "Manchester's coolest office" and see for yourself.

And we're in good company. Together with priceline.com, KAYAK, agoda.com, and OpenTable, we're part of Booking Holdings, the world leader in online travel and related services.

We are looking for an enthusiastic and motivated senior analyst/associate data scientist to join our Data Team . You will work alongside Data Scientists, analysts, designers, developers & product owners to produce valuable insights, shaping and creating models using analytics tools, statistics and data-mining techniques. Engineering and product are a multi-skilled group of over 400 people responsible for providing the technology to enable the Rentalcars.com, booking.com/cars and taxis businesses. It is a fast paced, dynamic, exciting and driven environment providing services on a 24x7 basis. We provide all the touch points for our online customer experience through a market leading app, great websites and all the software services and business systems to manage our customers and products. Our goal is to create a great customer experience across all platforms which help us deliver growth for our business.

We have a great journey ahead and our vision is to radically change the working practices to realise our ambition of being a “World Class” engineering function and the “Technology Employer of Choice” in the Northwest and beyond. Make no mistake we have a challenging journey ahead but we are committed to delivering a great customer experience across web, mobile, call centre and partner channels and this is where you could fit in.

Role Description

As Rentalcars continues its journey to be a fully data driven organisation, we are looking for an exceptional self-led data analyst/data scientist who wants to join the Data & Reporting and Data Sciences product teams, analysing, validating and shaping data held in Hadoop and SQL data stores. This is a fantastic opportunity to work with big data, new technologies and supporting and kick-starting innovative ML projects. The focus will be on assessing quality and suitability of data, taking a systematic approach to creating and exploring useful data sets, delivering insight and enabling and supporting advanced analysis and data insights in the team and beyond. THere will also be the opportunity for developing pipelines as well as experimentation, measuring success of initiatives, products and business changes.

Where we are going

• Enacting a data driven approach by bringing advanced analytics and ML to the business
• Collaborating with teams across the world to be at the fore-front of eCommerce
• Revolutionising our online customer experience by personalising the car-rental experience for millions
• Supporting these decisions using the state of the art infrastructure, and big data technologies

Skills and experience we are looking for

Essential

• Advanced analytical skills (statistical background)
• Strong SQL skills for querying and exploring data sets
• Proven experience delivering insight from disparate data sets
• Ability to clearly communicate complex ideas to varied and non-technical stakeholders
• Creative and inquisitive: flair for developing insightful analysis and solving real business problems using data
• Working knowledge of BI tools such as Power BI and Tableau to visualise insights from big data
• Technically advanced in at least one data technology (e.g. R, Python, SQL,SAS, PySpark etc)

Desired

• Experience of working in online or eCommerce with high velocity event data
• Working knowledge of Spark, Hadoop, Python, R, Scala
• Interest in Machine Learning techniques and applications
• Ability to talk the language of Data Science

Key Accountabilities

• Deliver hypothesis challenging analytics that can change the direction of the company.
• Work with key in-house stake-holders to understand their business needs and develop the analytics to support them with insight and ML.
• Use your experience and the knowledge you gain to advise multi-disciplinary teams on ways of keeping and maintaining quality data and workflows for its analysis. Owning this high value process.

Key Attributes

• Analytical in approach, determined and passionate about delivering an impact on the business
• A real team player
• Commitment to personal and professional development, seeks and acts on feedback
• Desire to understand how business processes and systems work, not afraid to get into the detail
• Able to communicate effectively to all levels within the business – verbally and written, formally and informally
• Robust & resilient, a completer/finisher with an attention to detail
• Plans and prioritises effectively, while also demonstrating comfort with ambiguity and pragmatism when plans change
• Sense of ownership of the understanding & quality of the data that the team rely upon
• Have fun!

What we offer in return

• Ownership of your work and a great technical challenge
• A great office to work in the heart of Manchester
• Great facilities including subsidised canteen and Starbucks, free breakfast & fruit and cycle hub
• An exciting and dynamic place to work
• 25 days paid holiday plus bank holidays
• Great discounts on car rentals and other group benefits
• Opportunity to help shape the future of the team and data and analytics culture