Senior Analytics Engineer, Airalo

• We hope that you care deeply about the quality of your work, the intrinsic worth of tasks, and the success of your team.
• You are self-disciplined and do not require micromanagement in terms of your skillset and work ethic.
• You do your best to flourish as an individual every day while working hard to foster a collaborative team environment.
• You believe in the importance of being — and staying — authentic, honest, positive, and kind.
• You are a good interlocutor with clear and concise communication.
• You are able to manage multiple projects, have an analytical mind, pay keen attention to detail, and love to get your hands dirty.
• You are cognizant, tolerant, and welcoming of vulnerabilities and cultural differences
• 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

Desirable

• 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
• 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-makingMaintain 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