Analytics Engineer

👩‍💻 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.