Data Analyst (Growth) - Rakuten Viki|Meet.jobs

薪資

60k+ TWD Monthly

技能需求
  • sql
  • ,
  • python

工作機會描述

Rakuten Group, Inc. is the largest e-commerce company in Japan, and third largest e-commerce marketplace company worldwide, with over 1.5 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 looking for a Data Analyst (Growth). This role is based in Taipei and will report to the Data Analytics Manager. This role will work as a strategic partner to our User Acquisition Team as well as the CRM Team and will play a crucial part in driving Viki’s growth.

Key Responsibilities Include:

  • Analyse data from various marketing channels and campaign to understand the customer acquisition ROI and impact
  • Work hand in hand with UA and CRM teams to devise growth strategies
  • Analyze market research data (surveys) to get meaningful insights via statistical analysis
  • Analyze marketing campaign performance with an emphasis on extracting relevant insights and informing ways to improve continuously improve our methodologies
  • Help CRM define areas for customer segmentation, channel optimization, and message frequency
  • Design and execute robust tests and experimentations in order to optimize business performance
  • Be a key contributor within the Data Analytics team where you’ll also be exposed to other parts of the business like Product, Finance, and Content
  • Support various business stakeholders with ad-hoc analyses, data requests, and building dashboards to facilitate data-informed decisions across Viki
  • Work with data engineers as needed to optimise our data pipeline and potentially work on large-scale data mining projects

Requirements:

  • Bachelor’s Degree in Computer Science, Mathematics, Statistics or a related discipline 
  • 3+ years of experience in data analysis
  • Proficient in writing complex SQL queries
  • Experience in Digital Marketing Analytics, especially Mobile Marketing Analytics (e.g. AppsFlyer) and CRM Analytics
  • Strong quantitative and analytical skills
  • Basic understanding of the usage and interpretation of statistical methods
  • Self-motivated with a high degree of independence

Preferred Qualifications:

  • For data modeling: R, Python
  • For data processing: Hadoop, MapReduce, Kafka, Redshift, BigQuery, Spark
  • For data visualization: Looker, Amplitude, Tableau, Qlikview, Holistics
  • Fluent in technical aspects and able to use technical language with Data Engineers as well as business language with Marketing stakeholders
  • Understanding of Subscription-Based business model & metrics is an added advantage

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.

Rakuten Viki

Rakuten Viki is a premier global entertainment streaming site for primetime shows and movies subtitled in more than 200 languages, by our community of fans.

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