Senior Data Analyst, 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 experience in a hands-on analytics role
• Strong ability to synthesize data into actionable insights
• Strong SQL proficiency and understanding of data modeling concepts
• Experience with using data visualization tools and analytics tools
• A clear understanding of A/B testing methodologies
• Demonstrate curiosity and data fluency
• Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics

Desirable

• As a Senior Data Analyst, you have strong analytical and technical skills and are comfortable collaborating with various departments including Product, Engineering, Design, Growth, Finance, and Partnerships
• You will provide actionable insights to drive decision-making and help shape the Airalo strategy and roadmaps across departments
• You will play a key role in further growing our Data Analytics function and help us define best practices to improve our ways of working
• You’ll be the go-to person in the team to run ad-hoc analyses, find root causes of problems, and evaluate business impact
• Collaborate with multiple departments to understand their data analysis needs and provide strategic insights to support decision-making, define strategy and prioritize roadmaps
• Serve as the primary point of contact for ad-hoc analyses, root cause analysis, and evaluation of business impact across the company
• Partner with Product, Engineering, and Design to define tracking, AB testing strategy, and measure post-launch feature and product impact
• Develop data dashboards, charts, and visual aids to support decision-making across departments
• Convey insights through both reports and visual presentations
• Create documentation associated with the dashboards highlighting definitions, event schema, data models, analyses
• Gather and cleanse data from primary and secondary sources