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Senior Manager Business Intelligence and Data Engineering



Posted over 30 days ago...

Join Houst as they are looking for a Senior Manager Business Intelligence and Data Engineering


icon Salary

No salary declared 😔

icon Location

London United Kingdom

icon Expires

Expires at anytime

Are you passionate about data and its transformative potential? Do you want to use your skills to take a vibrant travel and tourism company to new heights? Look no further than Houst, the global home of hosting, where we are looking for a Senior Manager Business Intelligence and Data Engineering to join our data team and maximize our insights.

You will have a unique opportunity to shape our fast-growing company by driving innovation and developing a data-driven culture. You will work closely with our hosts, guests, cleaners and other stakeholders to gain deep insights into their behaviour and needs. You will build the strategic vision for our data team, drive an analytical roadmap, and oversee the development and implementation of data-driven products and features.

Houst is on a mission to bring hospitality to the sharing economy and your work will be central to driving our growth and success. Join our team and help us make a difference in the world of travel and hosting.


  • Create and implement an analytical roadmap that aligns with Houst's business strategy.
  • Drive the development of data-driven products and features that improve the experience and earnings of our hosts and guests.
  • Establish and promote data-driven decision-making across the company.
  • Collaborate with cross-functional teams to identify opportunities for improvement and innovation.
  • Manage our data infrastructure, ensuring it is secure, reliable, and scalable.
  • Keep up to date with emerging trends and techniques in data science and inform the company about how these can be applied to improve Houst's operations and outcomes.


  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • LookML knowledge
  • At least 5 years of experience in data engineering or analytics.
  • Deep understanding of business intelligence and analytics, data modeling, and engineering.
  • Proven record of developing and delivering data-driven products and features.
  • Solid experience with data management tools and technologies like FiveTran, AWS, and SQL.
  • Experience with programming languages such as Python or R.
  • Strong leadership, communication and collaboration skills.


  • Enviable company culture – we’ve put time into getting our work culture just right.
  • Hybrid Working (3 days in the London office, 2 remote)
  • Employee discounts – at heaps of restaurants, shops, gym memberships, cinema tickets and more
  • Enhanced Parental Leave – Family comes first.
  • Pension - We provide a pension scheme for all permanent employees
  • MacBook Pro
  • 25 days paid holiday (plus public holidays) – plus an extra day off on your birthday (because who wants to work on their birthday

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