Product Data Analyst - CX (remote/relocation possible)
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 across our consumer facing product teams that works Search, Accommodation Pages and Retention & 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
Develop our understanding and metrics for user retention & engagement and provide analytical support & frameworks for CRM & messaging activities
Support tracking of user behaviour across our product and build data models & dashboards to visualise it in Looker, our BI software.
Work with data scientists & engineers to build and optimise data driven features (like sorting, 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 deal 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 owners, UX designers, developers and supported by data scientists & engineers.
Required qualifications & experience:
3-10 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 are an expert at using SQL & developing 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):
Retention & CRM Analytics
Business Intelligence, event analytics tracking, data modelling, data warehousing
Conversion rate optimisation
Programming & statistical modelling in Python or R.
Web analytics software like Google Analytics, Mixpanel & Amplitude
Why join now?
This year we will be helping +1.5M customers around the world find better hotel deals, using data, transparency & industry-leading feature.
We are in fast growth mode and have been growing bookings by +100% YOY for the past 2 years and plan to continue doing so in the coming years.
Completing our mission means building an efficient tool users love. Doing that in a market as large and as competitive as online accommodation is a rare opportunity to make an impact in the online world.
We have a strong user-acquisition engine and a lot of room to grow. It's an exciting journey in a company that's driven by data.
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 values sharing knowledge every day and has a budget to attend conferences and develop yourself.
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!