Hostelworld is a leading global online travel company, focused on the hostel market, inspiring adventurous minds to experience new places, meet new people and come back with extraordinary stories to tell.
Our customers aren't your average travellers; they are driven by the need for unique experiences, social connections and empowering adventures.
Every year we help millions of hostel travellers create long-lasting memories by enabling real travel experiences.
We have over 20 years' experience, with more than 13 million reviews across more than 17,000 hostels in 179 countries, making our brand the leading online hub for social travel.
Our website operates in 19 different languages and our mobile app in 13 languages. Over the last 20 years, we have built our industry expertise by partnering with hostels worldwide, enabling them to manage and distribute their inventory to our highly engaged and valuable global customer base.
As a data analyst, you are a member of a centralised team of data-driven influencers, leading the way for how data and analytics is used at HostelWorld, and inspiring our Growth units to action.
The role and team
Our Growth units use an extensive range of data sources to track the full user journey to understand what is going well for our users, where we can optimise and what to build next.
As the data analyst an individual with high level of intellectual curiosity, excellent command of data analytics tools and passionate about applying data to build solutions you will be key to these data driven decisions, working within a diverse Growth unit (marketing, engineering, product and design) enabling them to apply your data insights and models to build a better world for our customers.
In this role, while you are embedded in the Growth teams, you are a member of the centralised analytics team which will provide you with a range of supports to build out your analytics toolkit and develop your career.
Although reporting into our Analytics team, you will work as a dotted line report to our Head of Mobile to discover opportunities to create growth in mobile native apps.
Keep the company up to date on overall user analytics metrics through dashboards and regular team updates.
Collaborate with stakeholders across the organization to establish the highest business priorities and opportunities by measuring expected reach and impact.
Define and maintain common metric definitions across the business.
Identify the opportunities most important for growth, to remove barriers for product adoption, retention, engagement, and / or monetization, and partner with our growth-focused engineering teams to execute on projects based on what’s identified to accelerate the growth and adoption of Facebook Inc.
products in all the markets we serve.
Understand funnels, ecosystems, user behaviors, and long-term trends in the adoption of our products to identity opportunities for step-changes and angle changes in growth.
Optimize funnels to reduce friction and drive the best possible experience for users who are going through any product flows necessary to become users of our products and services.
Analyze the results of experiments to determine what should launch or not. Learn from and iterate on those experiments by identifying additional opportunities to drive growth
Collaborate and share learnings with wider analytics team to ensure consistent analytics standards and rigour is applied to in all use cases.
3+ years experience with quantitative data analysis.
2+ years experience working collaboratively with product team members such as : product management, engineering, design, data science, data engineering etc.
2+ years experience with product optimization work i.e. funnel / website optimization and / or outbound communication channels like email or push notifications.
Experience in making analytical, data-driven decisions and communicating the results of analyses.
Advanced SQL experience (querying both structured & unstructured data types)
Hands on experience using Google Analytics, Tableau, Firebase, Branch, and other tools to extract, analyze, and visualize data.
Experience in statistics (e.g. hypothesis testing, product experimentation, regressions, experimentation logic and biases).
Experience with either Amplitude, Mixpanel, and / or Google Analytics
Highly analytical mindset with demonstrated ability to work through complex, ambiguous problems using data.
You have extensive experience with Tableau.
You’ve worked in a Social product company.
You’ve worked with Mobile Paid Acquisition teams.
Customer obsession : You start with the customer and work backwards
Ownership & Leadership : You take pride in what you do and ownership for finding solutions to business challenges
Great collaboration : You work in support of the team agenda, collaborating effectively and with respect at all levels of our organisation
Bias towards action : You have an urgency to be first to market and takes calculated risks
Results driven : You relentlessly focus on the key inputs to deliver the desired result
Metrics Driven : You will be data driven in assessing performance
Initiative : Ability to work on own initiative
Culture fit : You are down to earth, results-focused, pragmatic, diplomatic, passionate, creative, high energy, smart, collaborative, transparent, motivated, entrepreneurial, high integrity, commercial and flexible