Data-Driven Product Analyst
3 semanas atrás
About Us
Hostelworld Group is a leading online booking platform that inspires adventurous minds to meet the world and come back with life-changing stories to tell. With over 13 million reviews across 17,800 hostels in more than 179 countries, our brand is the leading online hub for social travel.
We have a growing team of 230 people across Technology, Product, Global Markets, HR, Finance & Legal, and Marketing Teams in Dublin, London, Porto, Shanghai, and Sydney offices. Our website operates in 19 different languages, and our mobile app in 13 languages.
Location
This role is based in Portugal, with an office hub in Porto available for those who prefer a hybrid model. You will need to commute to our office hub as required from time to time.
About the Role
We are looking for a seasoned Senior Product Data Analyst with a strong focus on data-driven product enhancements and a background in machine learning. You will work closely with our machine learning team to optimize and innovate our recommender systems that enhance user experiences by personalizing search results and social connections within our platform.
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 includes Google Analytics, Segment, Iterable, GCP, Snowflake, Tableau, Vertex AI, Airflow, DBT, Fivetran, Hightouch, and Twilio Segment.
Your Key Responsibilities
- Collaborate with machine learning engineers and data scientists to define and refine metrics for evaluating the performance and success of recommender systems.
- Utilize predictive analytics to understand customer preferences and enhance recommendation algorithms.
- Lead the integration of machine learning insights into product strategies, ensuring that data-driven 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 cross-functional teams and stakeholders.
Requirements
- Bachelor's or Master's 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 problem-solving abilities and experience structuring and conducting complex data analyses to support business decisions.
- Effective communicator capable of explaining complex data insights and concepts to non-technical stakeholders.
What We Offer
Competitive salary €70,000 - €90,000 per annum, plus benefits including enhanced annual leave, paid family leave, agile working, and inclusive people policies. In addition, you will receive support for your ongoing growth and development, and a chance to give back to your local community with 5 paid volunteering days.
About Our Culture
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 value collaboration, innovation, adaptation, and delivery. If you don't meet all the requirements, please consider applying if you think you can still perform the role as described.
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