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 a product analyst to push our product to new levels. As a Product Analyst you will shape the direction & growth of our hotel marketplace and, become the focal point for all related data matters in the tribe and work closely with Product owners, Engineers and Data sciencists.

You will work across our Offers engine product, which is responsible for enabling every user search with the best accommodation offers available for. At any moment, there are billions of offers available in our ecosystem, the main challenge we solve is finding the most relevant, quality and competitive offers, in efficient way, and allow the user to make a fair comparison among them.
On your daily work you will face and try to solve complex product and engineering problems such define and find the best offer for every user, build our pricing strategy, ensure price accuracy and optimise profitability.

We're looking for a data expert who understands scalable and data driven products, and who has the technical & analytical skills to make sense of the mountain of data we have. This person will be the first Analyst in the team and expected to become a key factor of making both the product and the team fully data driven.

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 engine!

What you will be doing

  • Become a key factor in making the team fully data driven by utilise the data for measurement, ideation decision making and prioritisation
  • Own the squad data E2E - design tracking and data models, manage data pipelines and make it accessible for analytical usage
  • Work close with Engineers and POs on defining KPIs & success criteria's and measuring impact of exist and new products and features
  • Support AB testing with design, analysis, statistical decision making & ideation
  • Perform in-depth analysis on complex big data models for finding new opportunities for improvement & growth and generate actionable insights
  • Build automated and scalable solutions for exposing insights to internal and external consumers using BI tools.
  • Work with data scientists & engineers to build and optimise data driven features through data discovery and statistical modelling
  • Monitor ongoing performance and perform ad hoc analysis for investigating issues in production
  • 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 the new pricing model, suggest improvements and raise problems or challenges you have faced. Before lunch you'll set aside time to deep dive into the data, searching for new insights and opportunities, write-up your summary and communicate it to the relevant team members. 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 work to create a new pipeline for modelling events from the new price checker tool and build a dashboard on top of it for monitoring our price accuracy score.

The team: Product owner, Backend engineers and data scientists.


Required qualifications & experience:

  • 3-6 years of hands-on experience using data to drive product and business decisions, with significant part of backend and data driven product analytics
  • Highly analytical and data driven and have the ability to assemble, analyse and interpret data to make decisions and communicate findings
  • Experience at modelling data and creating data pipelines
  • Expert at using SQL & developing in BI tools like Looker, Tableau
  • Coding or scripting experience
  • Experience designing & analysing AB tests
  • Good understanding of statistics
  • BSc or equivalent with related experience in statistics, data analysis, data mining
  • Pro active and can do approach

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):

  • Experience in internet/mobile companies
  • Conversion rate, pricing or request utilisation optimisation
  • Programming & statistical modelling in Python

Why join now?

  • We recently rebuilt our website and its infrastructure to be faster, extensible, and scalable; built a local team of experienced product developers and are looking to grow traffic from 7.5M monthly visitors to 20M+ within the coming year.
  • 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 are a profitable company that aims to grow from 60 to 100 team members in the coming year.
  • 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.

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 values sharing knowledge every day and has a budget to attend conferences and develop yourself.
  • A profitable company with fast growth and a great scale opportunity.
  • A competitive compensation package + perks and benefits (including Stock 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 in a fun work environment.
  • 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.

    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!