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Senior Data Analyst Mobile | Hostelworld Group | Ireland

Hostelworld Group PLC is a ground-breaking 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, we're a well-known trusted brand with 240 team mates across 11 countries; hostel partners in 180 countries; and a strong commitment to building a better world in all that we do.

WHO YOU'LL 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.

WHAT YOU'LL DO

You will report directly to 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 long-term 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 the wider analytics team to ensure consistent analytics standards and rigour is applied to all use cases.
WHAT WE'RE 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.
  • 2+ 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, data-driven 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), and a chance to give back in your local community with 5 paid volunteering days.

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 don't have to meet all the requirements listed above to apply for this role.

When applying, state you found this job on Pangian.com Remote Network.

Read the full job description and apply online on the recuiter's web-site

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