Lead, Data Analytics
FareHarbor
| Company | FareHarbor |
| Category | Data & Analytics |
| Location | Amsterdam |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 12 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About FareHarbor
At FareHarbor, our mission is to make experiences better for everyone. Founded in 2013 in Hawaii and acquired by Booking Holdings in 2018, FareHarbor creates powerful tools that enable our clients (think boat rentals, museums, food tours, events and more!) to operate and grow.
With over 20,000 clients across 90+ countries—we’re the largest in our industry and shaping the future of travel, together.
Our team is an ‘Ohana of 700+ people around the world. We’re passionate about pioneering an industry, embracing challenges with open arms, and delivering value to the experiences industry.
FareHarbor Core Values:
Think Client First
We Are One ‘Ohana
Be Curious and Learn
Own It.
Act With Integrity
Embrace the Challenge
Why FareHarbor?
Founding FareHarbor required unwavering passion. Turning a start-up into the world’s leading and largest reservation software for tours, activities, and attractions required relentless dedication and vision. To date, we’ve helped over 20,000 global businesses operate successfully and are proud to have played a role in enabling business owners to live their dreams.
And since day one, we’ve known that our real success lies in our people—the Ohana.
With each new feature launched and new client onboarded, there is a team of incredible people behind the scenes who are full of dedication, passion, energy, and the will to succeed. We encourage everyone to bring their whole selves to work—to believe in their abilities, to freely express their creativity, and to contribute with their own uniqueness by wearing their true colors. We take care of one another and always prioritize health and wellbeing. We give our people the space and trust to learn, to try, to succeed, to collaborate, to think outside of the box, to make mistakes, and even to fail. And then we come together to try again.
From the minute you join, you have a voice. You find your space. You make an impact. We celebrate our victories, shout our successes, and are always eager to tackle new challenges. And we can’t wait to see all that’s to come.
About the Role
The Lead Data Analyst serves as the analytical craft leader within the BI team, responsible for translating complex business problems into trusted data products, advanced analytics, and actionable recommendations that drive measurable business outcomes. This role partners closely with Product, Commercial, Finance & Strategy, and Data Engineering teams to identify opportunities, measure impact, and influence business decisions through data and insights.
You will help advance FareHarbor's analytics capabilities by leveraging modern analytics tools, automation, and AI-assisted workflows. As a senior individual contributor, you will drive analytical best practices, mentor analysts, and help shape how analytics is delivered, adopted, and operationalized across the organization.
This role reports to the Manager, Data Analytics within the global Business Intelligence team.
What you’ll do here:
Partner with Product and Commercial stakeholders to translate business questions into analytical frameworks, trusted metrics, and actionable insights.
Design, build, and maintain scalable reporting, dashboards, and data products that support decision-making across the organization.
Proactively identify growth opportunities, operational inefficiencies, and emerging business risks through data analysis and insight generation.
Conduct advanced analyses, forecasting to drive measurable business outcomes across acquisition, upsell, retention, and product adoption.
Translate analytical findings into measurable actions by partnering with stakeholders to operationalize recommendations and track business impact.
Help improve self-service analytics capabilities by developing trusted datasets, documentation, and reporting frameworks.
Collaborate with Data Engineering to impr
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