Posted:
12/9/2024, 10:12:10 AM
Experience Level(s):
Senior
Field(s):
Data & Analytics
Job Description:
Rakuten Group, Inc. is the largest ecommerce company in Japan, and third largest ecommerce marketplace company worldwide, with over 1.3 billion registered users worldwide. The Rakuten brand is recognized worldwide for its leadership and innovation, and provides a variety of consumer and business-focused services including e-commerce, e-reading, travel, banking, securities, credit card, e-money, portal and media, online marketing and professional sports. The company is expanding globally and currently has operations throughout Asia, Western Europe, and the Americas.
Rakuten Viki is a premier global entertainment streaming site where millions of people discover and consume primetime shows and movies subtitled in more than 200 languages, by our community of fans. With billions of videos viewed and more than 1 billion words translated, Viki brings global entertainment to fans everywhere!
About the Analytics Team:
The Analytics Team handles terabytes of data to help us understand our users and learn about content trends. They are responsible for collecting, processing and organizing large and complex datasets in order to generate actionable insights and help various teams at Viki make data-driven decisions.
The Analytics Team is seeking a Senior Data Analyst. This role will be based in Singapore and report to the Director of Analytics. He/She will play a key role in growing our analytical capabilities at Viki and perform in-depth analyses to help improve business metrics.
Key Responsibilities Include:
Act as a strategic partner to a set of stakeholders to facilitate data-driven planning and decision-making in their respective areas
Analyse large and complex data sets that represent the behaviour of millions of users globally
Conduct thorough data analysis to identify trends, patterns, and business opportunities. Use advanced analytics to provide actionable insights that support strategic and operational decision-making
Conduct inferential and predictive analyses to better understand user behaviour
Design, develop, and maintain data models to transform raw data into structured, business-ready datasets. Ensure models are optimized for performance, scalability, and maintainability
Identify factors that affect product performance and growth, derive actionable insights to achieve better product feature ideation and development
Work closely with Product Managers, design A/B experiments, and optimize future product developments
Leverage business intelligence tools to design and build dashboards to facilitate self-service of data
Maintain high data quality standards through effective testing, monitoring, and validation. Implement data governance best practices to ensure consistency, accuracy, and reliability of data across the organization
Requirements:
Bachelor’s Degree in Computer Science, Mathematics, Statistics or a related discipline
5+ years of experience in data analysis
Highly proficient in writing complex SQL queries
Experience in partnering with product and/or other business stakeholders to drive complex analytical projects
Outstanding quantitative and analytical skills
Deep understanding of the usage and interpretation of statistical methods
Good-to-Have:
For data modeling: dbt, R, Python
For data processing: Hadoop, MapReduce, Kafka, Redshift, BigQuery, Spark
For data visualization: Looker, Amplitude, Tableau, Qlikview, Holistics
Rakuten is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. Women, minorities, individuals with disabilities and protected veterans are encouraged.
Website: https://viki.com/
Headquarter Location: San Mateo, California, United States
Employee Count: 101-250
Year Founded: 2010
IPO Status: Private
Last Funding Type: Convertible Note
Industries: Music ⋅ TV ⋅ Video ⋅ Video Streaming