Hostelworld is the world's leading Social Travel platform - a social network-powered OTA on a mission to help travellers find their people and create unforgettable moments together. Founded in 1999 and headquartered in Ireland, we're a team of around 270 people serving hostel partners across more than 180 countries.
Since launching our social network in 2022, we've welcomed over 3.4 million social members who aren't just booking trips, they're messaging, finding events, meeting up and becoming powerful brand advocates. This community generates a rich proprietary dataset of 16 million+ chat messages and 17 million bookings, powering AI-driven personalisation and network effects that no generalist OTA can replicate.
We are not just another OTA - we created an entirely new category – Social Travel. If you want to shape the future of travel by putting people and shared experiences at the heart of it, you'll fit right in here - Learn more about our Team!
Our Culture
At Hostelworld, our culture is a direct reflection of our customers: adventurous, curious, and social. We have a shared love of travel that fuels our work and connects us on a deeper level. It’s a fast-paced environment that blends the agility and "scrappy" resourcefulness of a start-up with the experience and ambition of a global, publicly listed company.
We are a team of pragmatic optimists who are data-obsessed and results-driven. We value a ‘test and learn’ mindset, encouraging experimentation and empowering our teams to take calculated risks. We believe in doing the right thing—for our customers, our partners, and each other. We foster a supportive and collaborative atmosphere where diverse perspectives are celebrated, and where every team member has the opportunity to make a significant impact on our journey. We embrace the journey, not just the destination, and we seek leaders who will thrive in a dynamic environment and inspire their teams to do the same.
This role is based in Portugal. We have an office hub in Porto available for those who prefer a hybrid model where you can spend time with colleagues in-person. You will need to be able to commute to our office hub as required from time to time.
The Marketing Analytics team is the data engine behind paid marketing decisions at Hostelworld. We own marketing measurement & experimentation, run incrementality experiments, build elasticity and budget-optimisation models, and own the dbt models and Tableau dashboards that Performance Marketing relies on.
The team sits inside the broader Analytics & Insights function and partners with Performance Marketing, Brand, Product, CRM, and Finance.
The role
We are hiring a Marketing Data Analyst to join the team. This is a hands-on individual-contributor role combining four skill blocks:
Analysis — turning commercial questions into reproducible analyses that influence budget, bidding, and channel decisions.
Commercial & business focus — translating findings into narratives, opportunity sizings, and recommendations stakeholders can act on.
Analytics engineering (data modelling & dbt) — building and maintaining dimensional dbt models in Snowflake to power downstream reporting and analyses.
4.Tableau reporting — designing, optimising, and governing the dashboards used across Marketing and senior leadership audiences.
You will own a portfolio of recurring Tableau reports, dbt data models, analyses, and projects around marketing attribution, measurement, experimentation, optimisation & customer modelling.
1. Analysis
Run weekly and monthly performance deep-dives across acquisition channels (PPC, Paid Social, Paid App, Affiliates).
Build and maintain channel-level pacing reports, business reviews, and YoY trend analyses.
Investigate anomalies (cost spikes, conversion drops, attribution shifts) and deliver root-cause analysis.
Support measurement initiatives: incrementality tests, A/B tests, cohort and CLV analyses.
Produce clear, reproducible insight reports with charts, tables, and explicit recommendations.
2. Commercial & business focus
Size investment opportunities and contribute to budget-allocation business cases.
Support quarterly investment-opportunity memos and roadmap planning.
Maintain fluency in unit economics: CAC, CLV, payback, contribution margin as the enterprise north-star metrics.
Translate analyses into narratives for non-technical stakeholders.
Surface gaps proactively: flag missing topics, broken assumptions, and untapped opportunities.
3. Analytics engineering (data modelling & dbt)
Design and maintain dimensional dbt models in Snowflake.
Add and maintain dbt tests on critical models.
Refactor legacy SQL and migrate Tableau-embedded calculations upstream into governed dbt marts.
Follow Git workflows, peer review, and modular SQL practices.
Partner with Analytics Engineering on lineage clean-ups, incremental patterns, and ingestion of new marketing-platform sources.
4. Tableau reporting
Build and own Tableau dashboards used by Performance Marketing, Brand and Commercial teams.
Optimise workbook performance.
Migrate complex calculations from Tableau into upstream dbt models to keep workbooks thin.
Maintain a clean metric layer between dbt and Tableau so definitions are consistent.
Must-have
2–3 years of commercial analytics experience, ideally in marketing, e-commerce, or consumer-tech contexts.
Advanced SQL — window functions, CTEs, performance-aware queries on cloud warehouses (Snowflake, BigQuery, or Redshift).
dbt — production experience building models, writing tests, and managing lineage and documentation.
Tableau — production experience designing and optimising dashboards used by real stakeholders.
Python for analytics — comfortable in Jupyter with pandas and a plotting library (plotly, matplotlib, or similar); able to write reproducible scripts.
Commercial fluency — comfortable with CAC, CLV, payback, contribution margin; able to translate a number into a recommendation.
Stakeholder communication — clear written narratives, structured insight reports, opinionated recommendations.
Software-engineering best practices — Git workflows, peer review, modular code, parameterised queries.
Nice-to-have
Exposure to marketing attribution (multi-touch, data-driven, MMM, incrementality testing).
Hands-on experience with paid-media platforms (Google Ads, Meta Ads, TikTok Ads, GA4,AppsFlyer).
Experience with Streamlit or other analytical-app frameworks.
Familiarity with Airflow or another orchestration tool.
Awareness of mobile measurement (SKAdNetwork / SKAN, Firebase, AppsFlyer).
Exposure to causal inference methods (synthetic control, CausalImpact, difference-in-differences).
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
Grow others - We fundamentally believe that investing in growing others benefits everyone, whether it's 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 we’re 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.
We believe in talented and diverse teams that reflect the diversity of our customers and the communities in which we operate. Everyone brings different perspectives and experiences. We lay out the above requirements to guide applicants to the experiences that we believe will allow you to be successful in the role. If you don’t meet them all, please consider applying if you think you can still perform the role as described.
