Intern, Data Analytics

Job Description:
Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment and communications, bringing the joy of discovery and access to more than 1 billion members across the world. Our teams deliver on the company’s mission to delight merchants and customers through innovation, optimism, and teamwork.

Rakuten Viki is a global entertainment streaming platform that specializes in Asian content. Our platform enables millions of viewers to discover and enjoy primetime shows and movies, subtitled in over 150 languages. Headquartered in San Mateo, California, we also have offices in Singapore, Seoul, and Shanghai, ensuring a strong global presence and a deep connection to the heart of Asian entertainment. Our platform is home to a large and loyal community of fans who share a passion for Asian culture and entertainment. Join us in our mission to bridge cultures and connect the world to Asian entertainment. At Rakuten Viki, we offer a chance to be part of a global community that celebrates culture, creativity, and connection.

At Rakuten Viki, our engineering teams utilize leading-edge technologies to build a world class product.

We are seeking a smart and hard-working Data Analyst intern for our Data Analytics Team. At Viki, we handle terabytes of data to help us understand our users and learn about content trends. Our team is first and foremost responsible for collecting, processing and organizing these large amounts of data using advanced and scalable techniques. They then analyze these complex datasets to generate deeper insights and help various teams at Viki effectively utilize it for crucial decision making.

You will join a diverse and talented team with great ambitions to change the digital entertainment landscape. If you are inspired to take up new challenges and learn what it takes to be a great Data Analyst, come be a part of our Rakuten Viki team in Singapore.

Key Responsibilities Include:
- Create and maintain reports and dashboards to help generate insights for Product and Growth teams as well as track key performance indicators (KPIs) and metrics.- Conduct analysis to identify trends, patterns, and anomalies- Support the Analytics team in developing and implementing testing strategies to ensure the accuracy and reliability of our data- Analyse results of A/B tests and data collected from experiments- Work with engineers to ensure that data collection has been correctly implemented- Collaborate with Product Managers to analyse performance of new features and help with research for upcoming features

Requirements:
- Pursuing BSC/MSC in Statistics, Business Analytics, Data Science, Computer Science, or a related discipline- Outstanding analytical skills and attention to detail- Proficient in writing complex SQL queries- Deep understanding of the usage and interpretation of statistical methods- Familiar with data visualization tools such as Tableau, Looker, and Qlikview- Proficiency in Python programming language is a plus
- Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws._
- Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, Always Advance - Only be satisfied with complete success - Kaizen
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
Hypothesize - Practice - Validate - Shikumika - Use the Rakuten Cycle to succeed in unknown territory
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
Speed Speed Speed - Always be conscious of time - take charge, set clear goals, and engage your team