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 Viber Pay 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.

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 the markets/channels
Build and maintain reporting dashboards, reports, and data models

3 - 5 years experience in a role equivalent to data and/or product analytics environment
Analytical and problem-solving skills
An ability to communicate complex findings to key stakeholders in a clear, simple way
Good command of Excel, experience with SQL and BI tools (ideally Tableau, Looker or similar) basic command in Python
BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field

Experience working in similar fintech/social/technology industries or else high-data-volume industries
Knowledge of basic marketing terms, funnel conversion, retention analysis, CRM activities
Knowledge of A/B testing principles and statistical analysis techniques
Good knowledge in Python and/or ETL