Lead, Data Analytics at FareHarbor

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

17 Oct, 26

Salary

0.0

Posted On

19 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, dbt, Tableau, Looker, Power BI, Mixpanel, Amplitude, GitLab, Data Modeling, Statistical Analysis, Forecasting, Stakeholder Management, Product Analytics, Commercial Analytics, AI-assisted Analytics

Industry

Travel Arrangements

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 improve data quality, governance, accessibility, and reliability. Create and apply AI-assisted analytics workflows and automation to increase analytical productivity, accelerate insight generation, and evaluate the quality and reliability of AI-generated outputs. Drive analytical excellence through best practices in business metrics design, experimentation, reporting quality, and insight generation. Mentor and support other analysts through knowledge sharing, code reviews, and analytical guidance. Contribute to a culture of continuous learning, collaboration, and data-informed decision-making. Requirements: 5+ years of experience in data analytics , or a related quantitative field, preferably within a B2B SaaS environment. Bachelor's or Master's degree in Computer Science, Analytics, Data Science, Economics, Statistics, or a related quantitative discipline. Strong experience working with commercial analytics. Experience in product analytics is a plus. Advanced SQL expertise and strong proficiency in Python for analytics, modeling, and automation. Strong experience with dbt to manage data workflows and pipelines and deploy analytics-ready datasets; GitLab experience. Experience with BI tools such as Tableau, Looker, Power BI, Mixpanel, Amplitude, or similar.. Familiarity with AI-assisted analytics workflows, automation, and natural language analytics tools. Experience with statistical analysis, forecasting and business performance measurement. Experimentation is a plus. Understanding of data modeling, dbt, semantic layers, and analytics engineering concepts. Strong knowledge of metric design, reporting standards, and data governance principles. Excellent communication and stakeholder management skills, with the ability to explain complex concepts clearly. Strong problem-solving skills, business judgment, and a track record of delivering measurable impact. This role is available to candidates located in the Netherlands and requires ability to work in a hybrid setup with in-office presence (3 days/week).. Benefits Global leave benefit 22 weeks paid parental leave 2 weeks paid grandparent leave Extended care and bereavement leave Life insurance policy Pension Plan Central Amsterdam Location Discount CZ insurance Working in a multicultural environment - 45 different nationalities Commuting allowance for public transport & subsidized lunch Wellness benefits (Headspace subscription & wellness webinars) Hybrid friendly Work-from-home assistance Educational Opportunities Social hours & events and team-building 26 vacation days per year FareHarbor is committed to creating a diverse environment, and we are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, national origin, disability, age, or veteran status. We welcome talent that can offer us new insights and perspectives on challenges that we face, and we take measures to eliminate unconscious bias throughout the interview and hiring process. In tandem, we work to cultivate an inclusive culture in which all of our employees can be their authentic selves. To learn more about how we use your information, see our Privacy Statement for Applicants. By submitting your application, you confirm that you understand and agree that your information will be processed in accordance with our Privacy Statement for Applicants. Any offer of work (e.g. employment, assignment) will be subjected to the successful completion of pre-employment screening.

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Responsibilities

The Lead Data Analyst translates complex business problems into trusted data products and actionable recommendations to drive business outcomes. They partner with cross-functional teams to design scalable reporting and mentor other analysts in analytical best practices.