Headout - Analytics Engineer

Description :

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