Data Analyst

loveholidays is on a mission to build the next generation of online travel agents. We want customers to tell us what they want to do on their trip, and we’ll find that incredible experience that fits their needs. We let millions of customers search through over 36 billion offers that we curate and are constantly exploring new and innovative ways to create that perfect holiday-finding experience.

In 2019 we were the fastest growing company in the UK, and processed a booking every 47 seconds. We believe that with exceptional, autonomous, cross-functional product teams and focusing on our differentiation, we can take loveholidays to the next level.

About the role:

“Data is the new oil” — Clive Humby. Do you agree with this quote? If so, read on for more details about our new role, where you will use data to help us further boost our growth trajectory and make smarter decisions (at higher velocity); using machine learning & data science techniques.

• You will have the opportunity to set up, monitor and track large scale experiments
• You will be able to deliver incremental improvements to our existing approaches through the application of machine learning techniques
• You will get to work closely with other business units to deliver day to day trading results
  

• A strong numerical higher degree in mathematics, science, engineering or computer science (or another related technical discipline)
• Experience with programming languages and a good grasp of at least one (e.g. Python, R)
• Ability to contribute to shared code repositories (basic git version control)
• Good knowledge of SQL
• An ability to explain complex solutions in a clear, understandable way to a non-technical audience
• Experience managing a small number of stakeholders and able to deliver insights in an incremental, outcome-driven way
• The skill to guide how analytics support business decisions (but also aware of what data won’t tell us)

• Heavily discounted holidays for you, your family and friends - trust us, we have some great hotels!
• The best equipment for doing the job - MacBooks or X1 Carbons are our choice
• Discounted gym membership at Virgin Active - there's one right next door to our office
• 25 days of annual leave + bank holidays
• 5% matched (10%) - we partner with Royal London
• High degree of autonomy in a strong collaborative environment
• Regular career and development reviews

• Recruiter call
• Manager interview
• Tech test
• Final interview
• Offer