Analytics Engineer

We’re a rocketship: 9-figure revenue, record growth, and profitable

With $130M in revenue, guests in 100+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel industry, and we’re just getting started. We've raised $60M+ from top-tier investors and are building a durable company for the long term — because that's what our mission needs and deserves. We’re growing, profitable and nowhere near done.

What we do is important

In an increasingly digital world, there is a desperate need to augment our human experience by getting us to interact with the real world around us and the people in it. At Headout, our mission is to be the easiest, fastest, and most delightful way to head out to a real-life experience — from immersive tours to museums to live events and everything in between.

Why now?

The foundation is strong. The opportunity ahead is even bigger. We’ve hit profitability, built momentum, and proven the model — but there’s so much more to build. If you’re looking to join a company where the trajectory is steep and your impact is real, this is the moment.

Our culture

Reinventing the travel industry isn't easy, but that's the fun part.
We care deeply about ownership, craft, and impact, and we’re here to do the best work of our careers. We won’t pretend like it’s for everyone but if you’re a builder who loves solving tough problems, you’ll feel right at home. Read more about our unique values here: https://bit.ly/HeadoutPlaybook

👩‍💻 The Role

As an Analytics Engineer at Headout, you will bridge the gap between data engineering and data analysis, creating the foundation for effective data-driven decision making across our organization. At Headout, we firmly believe that well-structured, reliable data is essential for understanding our business and delighting travelers worldwide. Working at the intersection of data infrastructure and business insights, you'll transform raw data into well-defined, documented, and accessible analytical models that empower teams throughout the company. Your technical expertise in data modeling and your understanding of business contexts will be crucial in building a robust analytics ecosystem that drives our global operations and strategic initiatives.

🌟 What makes the role stand out?

• Data Foundation Builder: Design and implement the core data models that power analytics across the organization. Your work will create a single source of truth that teams rely on for consistent, accurate insights.
• Technical Craftsmanship: Apply software engineering best practices to analytics development. From version control and testing to documentation and deployment, you'll bring discipline and quality to our data transformation processes.
• Business Domain Translator: Become fluent in both technical and business languages. You'll translate complex business concepts into clear data structures and metrics definitions that make sense to all stakeholders.
• Cross-Functional Enabler: Your work will empower diverse teams - from Operations and Marketing to Product and Finance - with the data they need to excel. The models you build will support everything from daily operational decisions to strategic business planning.
• Analytics Democratizer: Create self-service analytics capabilities that enable teams throughout the organization to answer their own questions without constantly requiring analyst support.
• Modern Stack Innovator: Work with cutting-edge data technologies to build scalable, efficient data solutions that grow with our business and adapt to changing requirements.

🎯 What skills you need to have

• You have a minimum of 2+ years of experience in analytics, data engineering, or related roles, with a focus on data modeling and transformation
• Strong SQL expertise is essential, with the ability to write complex queries and optimize data transformations for both accuracy and performance
• You possess a strong business acumen that helps you understand the context and importance of the metrics you're defining and modeling
• Experience with modern data transformation tools and methodologies (dbt, Airflow, Prefect or similar tools) and understanding of data modeling concepts (dimensional modeling, star schemas, etc.)
• You have a keen eye for data quality and testing methodologies to ensure reliable analytics outputs and are familiar with how to apply software development best practices to analytics code
• Your communication skills enable you to collaborate effectively with both technical and business stakeholders to translate requirements into well-structured data models
• Experience with data visualization tools (Looker, Tableau, Power BI) is beneficial for understanding the end-user needs
• Knowledge of Python or other programming languages is a plus for extending analytics capabilities beyond SQL

EEO statement

At Headout, we don’t just accept differences — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our partners, and the community at large. Headout provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. During the interview process, if you need assistance or an accommodation due to a disability, you may contact the recruiter assigned to your application or email us at life@headout.com.

Privacy policy

Please note that once you apply for this job profile your personal data will be retained for a period of one (1) year. Headout shall process this data for recruitment purposes only. Once the relevant job profile is filled or once the time period of one (1) year from the date of the job application has passed, whichever is later, Headout shall either delete your data or inform you that it shall keep it in its database for future roles. In compliance with the relevant privacy laws, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.