About the role

  • Analytics Engineer developing and maintaining data models to support strategic decisions in Hostinger. Revolutionizing data use to enhance business insights and accessibility.

Responsibilities

  • Design and maintain scalable data models and infrastructure that enable teams at Hostinger to access and analyze data with ease.
  • Partner with stakeholders across the organization to understand business needs, scope analytical requests, and translate them into reliable data solutions.
  • Build and optimize high-quality queries and models that ensure data is timely, accurate, and ready for analysis.
  • Audit, document, and refactor existing data structures to improve performance, maintainability, and overall data quality.
  • Continuously innovate to make data at Hostinger seamlessly accessible, high-quality and well structured.

Requirements

  • Solid understanding of data modeling principles and hands-on experience building data models for analytical use.
  • Strong SQL skills - ability to write clear, efficient, and optimized queries to solve business problems.
  • Experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift).
  • Familiarity with dbt (or a strong interest in learning it) is a strong advantage.
  • Working knowledge of Python, R, or other scripting languages to support automation and advanced analysis.
  • Experience with version control systems (Git preferred) and comfort working with the command line.
  • Familiarity with data visualization tools (we use Tableau).
  • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
  • Proactive, ownership-driven mindset with eagerness to learn and contribute to team success.

Benefits

  • **🚀 360 Growth:** We provide limitless learning opportunities: access to platforms like Reforge and Coach Hub, global conferences, feedback culture, digital libraries, and industry-leading subscriptions. Advance your career with internal mobility, and grow with a team eager to share knowledge and support your success.
  • **🎯 Freedom & responsibility:** Work on your terms, whether from the comfort of home or anywhere in the world. With a home office budget, you can elevate your workspace. Enjoy the flexibility to manage your schedule while bringing your ideas to life in a fast-paced, dynamic environment.
  • **💪 Wellness simplified:** Your health comes first with company-provided sick days, 20 paid suspension days, Headspace subscriptions, and recharge leave. Participate in wellbeing-dedicated events and simply enjoy the balance of a lifestyle that prioritizes wellness.
  • **🎉 Work hard - play hard:** Recognize hard work with company events like Town Hall, Meet the Client initiatives, team-building experiences, and workations. Celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations.

Job title

Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

€4,000 per month

Degree requirement

No Education Requirement

Location requirements

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