Senior Product Analyst

About Pruvo

Pruvo is a B2B travel-tech company that uses AI to lower the cost of hotel bookings after they are made. We monitor confirmed reservations and rebook them when a better price appears, saving money for OTAs, bedbanks, DMCs and travel agencies. We work with partners such as WebBeds and have teams in the USA, Israel, Costa Rica and Spain.

The role

We're hiring our first Senior Product Analyst to turn Pruvo's booking and pricing data into product decisions. You'll own how we understand our data: which trends matter, how our products are actually used, and where the next opportunities are.
You'll report to the Director of Engineering and work closely with the CEO, product and engineering. This is a founding role: you'll set the metrics, the tools and the habits that the rest of the company relies on.

What you'll do

• Find the trends. Analyze price movements, rebooking rates and savings across destinations, hotels, suppliers, lead times and clients. Explain what changed and why.
• Understand our products. Measure how clients use Pruvo, where value is created and lost, and which segments and integrations perform best.
• Shape what we build next. Turn findings into sized opportunities and concrete product proposals. Bring them to leadership with a recommendation.
• Define the metrics. Own the core KPI set (savings rate, savings per booking, client adoption, supplier coverage and more) and make sure everyone uses the same definitions.
• Build self-serve analytics. Create dashboards and curated datasets on top of our Datalake. Help set up AI-assisted analysis so engineers and leadership can answer routine questions themselves.
• Run the insights rhythm. Lead a monthly data-to-opportunities review and maintain a hypothesis backlog.

What we're looking for

• 5+ years in data, product or business analytics, ideally in a B2B or SaaS company.
• Strong SQL and hands-on Python (pandas or similar) for analysis.
• Experience with BI or dashboard tools and with data lakes or warehouses on AWS or similar.
• A track record of insights that changed a product, pricing or business decision. Tell us about one.
• Product sense: you ask why a number moved and what we should do about it.
• Clear communication in English, with both engineers and executives.
• Comfortable working independently as the first analyst, without a ready-made data team.

Nice to have

• Experience in travel tech, hotel distribution, pricing or revenue management.
• Experience with experimentation, A/B testing or causal analysis.
• Using AI tools (LLMs, agents) in your analysis workflow.
• Spanish or Hebrew.

Your first 90 days

1. Days 1–30: Learn the business and the Datalake. Agree on the core metric definitions and deliver a first "state of the data" report.
2. Days 31–60: Ship the first KPI dashboard and answer two or three priority questions from leadership.
3. Days 61–90: Present at least three data-backed product opportunities, each sized, and run the first monthly insights review.

What we offer

• A founding role with direct impact on product direction and visibility with the CEO.
• Real, high-volume data from the global hotel market.
• A small, international team across four countries.
• Location: fully remote, working in EU time zones.
• Engagement: open to employment or a contractor arrangement.

To apply, send your CV and a short note about one analysis that changed a decision.