Senior Product Data Analyst
Senior Product Data Analyst
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Job Description
ABOUT US
Hostelworld Group the global hostelfocussed online booking platform inspires adventurous minds to meet the world and come back with lifechanging stories to tell. Our customers are not your average tourists they crave cultural connection and unique experiences that we make possible by providing an unbeatable selection of hostels in unmissable locations all in the palm of their hand.
It is the social nature and community feel of hostels and their environment that enable travellers to embrace journeys of discovery adventure and meaning. We have more than 13 million reviews across 17800 hostels in more than 179 countries making the brand the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages.
Founded in 1999 and headquartered in Dublin Hostelworld has a growing highcalibre team of 230 people within Technology Product Global Markets HR Finance & Legal and Marketing Teams across our Dublin London Porto Shanghai and Sydney offices. Hostelworld is listed on the London Stock Exchange and Dublin Euronext. You can read more about our story here.
LOCATION
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 inperson. You will need to be able to commute to our office hub as required from time to time.
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 (A&I) all working towards one common goal with aligned objectives.
This role sits in the Customer Analytics Team reporting to the Head of Customer Analytics. We are looking for a seasoned Senior Product Analyst with a strong focus on datadriven product enhancements and a background in machine learning. The ideal candidate will work closely with our machine learning team to optimise and innovate our recommender systems that enhance user experiences by personalising search results and social connections within our platform. This role is suited for someone with a robust analytical background experience in ML systems and a passion for leveraging big data to drive product success in the travel industry.. You will be working with best in class technology and within a wider motivated team of data analysts engineers and scientists.
Our core data stack:
- Front End Tracking: Google Analytics
- CDP: Segment
- CRM: Iterable
- Data Storage: GCP & Snowflake
- Data Visualisation and Usage: Tableau Snowflake Vertex AI
- Orchestration: Airflow
- Transformation: DBT
- Synching data: Fivetran Hightouch Twilio Segment
WHAT YOULL DO
- Collaborate with machine learning engineers and data scientists to define and refine metrics for evaluating the performance and success of recommender systems.
- Utilise predictive analytics to understand customer preferences and enhance recommendation algorithms.
- Lead the integration of machine learning insights into product strategies ensuring that datadriven decisions align with user needs and business objectives.
- Develop comprehensive data analysis frameworks to monitor the health and performance of the recommender systems over time.
- Spearhead A/B testing strategies and other experiment designs to continually validate and iterate on the machine learning models.
- Translate complex machine learning concepts and outcomes into actionable business insights for crossfunctional teams and stakeholders.
- Stay abreast of industry trends technologies and competitive strategies in machine learning and recommender systems to maintain and boost innovation.
WHAT WERE LOOKING FOR
- Bachelors or Masters degree in Data Science Computer Science Statistics Applied Math or a related field.
- 5 years of experience in a product analytics role with at least 2 years focused on machine learning projects preferably with recommender systems.
- Strong analytical skills and experience with programming languages such as Python or R.
- Proficient in SQL and familiarity with big data technologies such as Hadoop Spark or similar platforms.
- Demonstrated ability in using data visualization tools like Tableau Looker or similar.
- Excellent problemsolving abilities and experience structuring and conducting complex data analyses to support business decisions.
- Effective communicator capable of explaining complex data insights and concepts to nontechnical stakeholders.
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.
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 dont meet them all please consider applying if you think you can still perform the role as described.
Employment Type
Full Time
