Product Data Analyst (remote/relocation possible)

Job description

Will you join us on a journey to disrupt the trillion-dollar travel industry? We are looking for the best and brightest who share our passion for travellers, data and product.

FindHotel believes travel is the one thing that opens minds to new ideas, cultures, and ways of thinking. Our mission is to GET EVERY TRAVELLER THE BEST ACCOMMODATION DEAL, WORLDWIDE. From adventure travel and backpacking to honeymoons and family vacations, we genuinely care so that every traveller can make the best-informed accommodation choice at the absolute best conditions for every trip.

To further this goal we are looking for analysts to push our Product Analytics to new levels. As a Product Data Analyst you will shape the direction & growth of our hotel marketplace and will be responsible for analysing user behaviour, finding areas of improvement and guiding our experimentation with data. You will work one or more of consumer facing product team such as Search, Accommodation Pages and Engagement. We're looking for a driven expert who understands e-commerce user behaviour and who has the technical & analytical skills to make sense of the mountain of data our users generate. This is a great challenge for the product analytics expert who wants to join us in our quest to build the next generation of accommodation search!

What you will be doing

  • Perform in-depth analysis on complex user behaviour, price comparison and conversion data to discover insights & optimise the user experience
  • Analyse & interpret AB test results and contribute to ideation & prioritisation of AB tests
  • Work closely with the Product Owners and Tribe Lead to give guidance on and influence goals, roadmaps and prioritises.
  • Support tracking of user behaviour across our product and build data models & dashboards to visualise it in Looker, our BI software.
  • Develop our understanding and metrics for customer success and engagement.
  • Work with data scientists & engineers to build and optimise data driven features (such as recommendation) through data discovery and statistical modelling
  • Communicate proactively and educate the rest of the company with your insights & best practices

What a day in the office might look like:

You start the day by checking up on the product dashboards & AB tests to see if anything requires attention. During the daily stand-up you present your latest findings on user behaviour, suggest improvements and raise problems or challenges you have faced. Before lunch you build a data model & dashboard to visualise the new recommendation feature that we recently launched. After a team lunch you'll meet with the team to brainstorm new experimentation ideas and prioritising the backlog. At the end of the day you'll set aside time to deep dive into the dashboard you built on the deal recommendation feature and write-up your insights & recommendations of how to evolve it in the next iterations.

The team: Product owner, UX designer, developers and supported by data scientists & engineers.


Required qualifications & experience:

  • At least several years of hands-on experience using data to drive product and business decisions, with significant part of that in product/e-commerce/web analytics.
  • You are highly analytical and data driven and have the ability to assemble, analyse and interpret data to make decisions and communicate findings
  • You are eager to learn new things and have a flexible mindset
  • You have a strong customer focus and product intuition
  • You are an expert at using SQL and developing data models & dashboards in BI tools like Looker, Tableau or Qlikview.
  • You have experience designing & analysing AB tests
  • You have good understanding of statistics

Preferred qualifications & experience:

Especially for the more experienced candidates, we'd also expect to see in depth experience in one or more of the optional areas below (in order of priority):

  • Business Intelligence, event analytics tracking, data modelling, data warehousing
  • Retention & CRM Analytics
  • Conversion rate optimisation
  • Programming & statistical modelling in Python or R.
  • Web analytics software like Google Analytics, Mixpanel & Amplitude

Why join us now?

  • We aim to help 10M customers book on FindHotel annually by 2023, up from 2M in the past 12 months. We do that using data, transparency & industry leading features.
  • We grew the number of bookings by +100% Year-Over-Year both in 2018 and 2019, and even managed to thrive in Corona times by growing bookings by +40% in 2020. Now that the travel market is opening again we are rapidly accelerating our growth rate.
  • From our early beginnings as an organisation that excelled in user acquisition. In recent years we have grown into an engineering and product-driven organisation. Our independence from major players in the industry, and the maturity that we have achieved in terms of user acquisition, engineering and product enables us to be disruptive and build customer features that nobody else in the industry will.

Do you want to know if FindHotel is the right place for you? Find out by reading our CEO's blog post.

What we offer:

  • Plenty of chances to learn and grow – you’ll be surrounded by some of the brightest minds in the city, be part of a culture which promotes knowledge sharing, trust and transparency.
  • A profitable company with fast growth and a massive scale opportunity, with a great team core built from years of investment. We are not a rocketship that was launched yesterday but a maturing organization that reached product-market-marketing fit and is beginning to enjoy economics of scale.
  • A competitive compensation package + perks and benefits (including significant share appreciation rights).
  • Flexible time off (take as many holidays as you need) and a chance to work remotely - we measure results, not time spent in the office.
  • You will be part of a highly international team that enjoys work, eat & play together in one of Amsterdam best office locations.
  • We value good food and offer catered lunches from various cuisines, great coffee, ice-cream in the fridge and the occasional bbq in our garden and company events in Amsterdam and abroad.
  • A budget for your dream home office.

Blog posts worth reading

Note: we are looking for an 80% match with the requirements above. Do you have experience with similar tools and technologies as the ones mentioned above? Great! If you are eager to learn our tech stack, we are happy to talk to you!

Follow us on Instagram to see what life at FindHotel looks like