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-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