Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Our Data Analyst team provides insights on how millions of users interact with our products. As a Data Analyst, you will be part of the Business Solutions unit and deliver insights that translate directly into business growth.
Working hand-in-hand with the global managers for each region, you will spot new opportunities, challenge the status quo, and present your findings back to the leadership team. We are looking for an experienced, hands-on individual with both strong technical skills (SQL, Python / R, and data visualization tools such as Tableau, Excel, Looker, etc.) and a business mindset.

REQUIREMENTS

• 4-5 years experience in a role equivalent to data or business analysis
• Analytical and problem-solving skills
• An ability to communicate complex findings to key stakeholders in a clear, simple way
• Knowledge of A/B testing principles and statistical analysis techniques
• Good command of Excel, experience with SQL and BI software (ideally Tableau, Looker or similar)
• BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field

• Deliver cutting-edge analytics projects optimizing across regions, channels, and analytical functions
• Report on key performance metrics against targets on a daily, weekly, and monthly basis and provide actionable insights to improve performance
• Liaise with stakeholders, such as Product, Marketing, Analytics and Data Science teams to drive step changes in growth
• Share expertise and best practices within analytical functions to develop a shared center of excellence
• Proactively craft stories from data to clearly identify opportunities in improving user experiences
• Build and maintain reporting dashboards, reports, and data models