Product Data Analyst (SB)

First Product/Data Analyst — Build the Data Foundation of our new project

We’re building a one-click, emotionally intelligent booking platform that turns messy planning into a seamless, inspiring experience.

We already have 400K+ travelers in our ecosystem and are backed by strategic investors. Now we need our first Product/Data Analyst — the person who will set up the entire data foundation across product, marketing, and business.

What You’ll Do

• Own end-to-end analytics: from raw data pipelines to insights for product, growth, and leadership.

• Define and track core product metrics (conversion, drop-offs, LTV, upsells).

• Design and evaluate hypotheses with A/B tests and advanced statistical methods.

• Build and run ML use cases: churn prediction, personalization, segmentation, scoring.

• Set up and maintain scalable ETL/ELT pipelines and event tracking (GA4, Mixpanel, Amplitude).

• Work with columnar databases (BigQuery, Snowflake, ClickHouse, Redshift) for large-scale datasets.

• Create dashboards and automate reporting for product, marketing, and leadership.

• Ensure data quality and governance across the company.

• Translate complex analysis into clear, actionable decisions that drive growth.

What We’re Looking For

• 4–6 years in Data Science, Product Analytics, or Data Engineering.

• Strong Python (pandas, numpy, scikit-learn; PyTorch/TensorFlow is a plus).

• Advanced SQL and experience with large-scale databases.

• Solid statistics and experimental design background.

• Experience building ML models in production.

• ETL/ELT, data modeling, orchestration (Airflow/dbt).

• Hands-on with BI and visualization tools (Looker, Tableau, Metabase, etc.).

• Comfort working in a fast-moving, zero-to-one environment.

Nice to Have

• Experience in travel-tech, marketplaces, or e-commerce.

• Real-time ML / recommendation systems.

• UX analytics and user research experience.

• Startup or early-stage background.

Why Join

• First hire in data — shape the full analytics layer from scratch.

• Work on a global consumer product with 400M skier visits worldwide market.

• Be part of a funded, international team with deep travel & tech expertise.

• Build the future of predictive, emotion-aware travel.