Data Analyst - Mobile
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Job Description
ABOUT US
Hostelworld Group PLC is a groundbreaking social network powered OTA focused on the hostel market with a clear mission to help travellers find people to hang out with.
Founded in 1999 were a wellknown trusted brand with 240 teammates across 11 countries; hostel partners in 180 countries; and a strong commitment to building a better world in all that we do.
In particular our focus in the last few years has been on improving the sustainability of the hostelling industry through our membership of the Global Sustainable Tourism Council (GSTC); our active involvement in the Global Tourism Plastics Initiative (GTPI); our partnerships with Bureau Veritas to establish emissions benchmarks for the hostelling industry; and our recent partnership with the South Pole to offset all our greenhouse gas emissions in 2021 and 2022. You can read more about our story here: Hostelworld site.
Hostelworld is listed on the London Stock Exchange Dublin Euronext and is an Investors in Diversity accredited employer.
LOCATION
This role is based in Ireland. We have an office space in Dublin city centre for those who prefer a hybrid model where you can spend time with colleagues inperson. If necessary the role can be remote within Ireland with coming together for team meetings as needed.
WHO YOULL WORK WITH
We have a matrixed structure here at Hostelworld; with Growth teams comprising of people across Technology Product Marketing and Analytics & Insights all working towards one common goal and with aligned objectives.
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 Mobile Analyst you will be key to these data driven decisions working within our Mobile Growth unit enabling the team to apply insights you derive from mobile/app analytics to improve customer experience.
In this role while you are embedded in the Mobile growth team you are a member of the centralised Analytics team reporting to the Head of Growth Analytics (with a dotted line to the Head of Mobile). The Analytics function will provide you with a range of supports to build out your analytics toolkit as well as membership with the Analytics Institute of Ireland.
WHAT YOULL DO
- You will report directly into our Head of Growth Analytics and work with our Mobile Growth Team in discovering opportunities for growth in mobile native apps. This includes working with our product team to deliver insights from Firebase/Segment and driving action with our marketing executives with insights from Branch data.
- Implement tracking and create user journey datasets using the data available to you from Branch Google Analytics Firebase Segment etc.
- Create insights and reporting on user journeys user behaviours and longterm trends in the adoption of our products to identify opportunities for growth.
- Analyse 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
- 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.
- Collaborate and share learnings with wider analytics team to ensure consistent analytics standards and rigour is applied to in all use cases.
WHAT WERE LOOKING FOR
- 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 i.e. funnel/website optimization and/or outbound communication channels like email or push notifications.
- 3 years direct experience using web analytics (e.g. Google Analytics Firebase Branch Adobe Analytics Tableau Segment etc) and other tools to extract analyse and visualize data.
- Experience in making analytical datadriven decisions and communicating the results of analyses.
- Advanced SQL experience (querying both structured & unstructured data types)
- Experience in statistics (e.g. hypothesis testing product experimentation regressions experimentation logic and biases).
- Highly analytical mindset with demonstrated ability to work through complex ambiguous problems using data.
WHAT WE OFFER
- Competitive salary & benefits
- Enhanced annual leave plus 3 Wellbeing Days per year
- Paid family leave (maternity paternity surrogacy & adoption)
- Agile working (plus a Working from Abroad Policy!)
- Support for your ongoing growth & development
- Inclusive people policies (sickness menopause compassionate and fertility leave)
- A chance to give back to your local community with 5 paid volunteering days
OUR BEHAVIOURS
- Grow others We fundamentally believe that investing in growing others benefits everyone whether its helping them develop hard or soft skills. We want learning and growing to be part of our DNA to help makes us a better team together.
- Master it We are obsessed with our area of expertise and enjoy developing our skills. We rarely take things at face value; we investigate interrogate and always look for the why and wherever possible we use data to find the best solution.
- Collaborate We are in it together for the tough stuff and the celebrations too. To achieve the best results we need expertise from all areas of the organisation and we wholeheartedly welcome diverse thinking.
- Adapt We work fluidly adapting to new information and the evolving environment while staying committed to our goals. Innovation and experimentation fuel our projects and were never afraid to pivot.
- Deliver Our focus is always on the end result; we value outcomes over activity. We collaborate to deliver work at speed without dropping any of our other behaviours.
Our people are key to our success. Our talented and diverse teams reflect the diversity of our customers and the communities in which we operate. Everyone brings different perspectives and experiences; you dont have to meet all the requirements listed above to apply for this role.
Employment Type
Full Time
