Senior Analytics Engineer

About Airalo

Airalo is the world’s first eSIM store that helps people connect in over 200+ countries and regions across the globe. We are building the next digital service that revolutionizes the telecom industry. We are a travel-tech company and an equal-opportunity environment that values and executes diversity, inclusion, and equity. Our team is spread across 50+ countries and six continents. What glues us together is our commitment to changing the way you connect.

About The Role

Join Airalo as a Senior Analytics Engineer and be at the forefront of our data initiatives. In this pivotal role, you will collaborate with various departments to understand and address their data needs, design and implement data models, and provide actionable insights that drive decision-making. Your expertise will ensure the highest quality of analytics code. Your contributions will be crucial in helping us leverage data to its fullest potential, ultimately supporting our strategic goals and enhancing overall business performance.

Responsibilities Include, But Are Not Limited To:

Work with multiple departments to understand and address their data needs.
Design and implement efficient ELT pipelines to streamline data processing.
Build and maintain dashboards that support strategic decision-making.
Maintain accurate data documentation and definitions.
Advocate for best practices, tools, and methods to ensure high-quality analytics code.
Train business users on effective use of data visualization tools.
Stay up to date with the latest industry trends and technologies, recommending new techniques and tools to keep us ahead of the curve.

Must-haves:

4+ years of related work experience with a track record of driving business insights.
Exceptional skills in data modeling.
Familiarity with EL solutions such as Fivetran or Stitch.
Expert knowledge of SQL and dbt.
Working knowledge of Python, Git, and the command line.
Proficiency with Looker or a similar tool.
Clear and direct communication skills about complex, technical topics.
Natural passion for structure and efficiency, and excellent attention to detail.

Good To Have:

Experience working with GCP stack, especially BigQuery.
Experience working with telco, MNOs & MNVOs.

Location

This is a remote-first position. Please note that our Data team works in the CET timezone, so candidates will need to reside in countries with the same time zone or similar to it and will need to already have a permit to work in the country where they are based.

If you are interested in this position, please apply via the link provided in the job posting.

Benefits
Extracted with AI

Medical insurance
Work-from-anywhere stipend
Annual wellness & learning credits
Annual all-expenses-paid company retreat

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