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Data Analyst (Shopee)

Shopee (thailand) Company Limited
Shopee (thailand) Company Limited (Bangkok, Bangkok City, Thailand)
Bangkok, Thailand 🇹🇭
Shopee (thailand) Company Limited
Shopee is the leading e-commerce platform in Southeast Asia and Taiwan. It is a platform tailored for the region, providing customers with an easy, secure and fast online shopping experience through strong payment and logistical support. Shopee aims to continually enhance its platform and become the region’s e-commerce destination of choice via ongoing product optimisation and localised user-centered strategies. Shopee, a Sea company, was first launched in Singapore in 2015, and has since expanded its reach to Malaysia, Thailand, Taiwan, Indonesia, Vietnam and the Philippines. Sea is a leader in digital entertainment, e-commerce and digital financial services across Greater Southeast Asia. Sea's mission is to better the lives of consumers and small businesses with technology, and is listed on the NYSE under the symbol SE.

About this position

The Data Analyst position at Shopee involves developing reports and dashboards, assisting business units in data-driven decision-making, and producing actionable insights to support new strategies.

Responsibilities

• Developing reports, dashboards, analysis and some automations (will be generally with SQL, PYTHON, EXCEL, in-House tools)
• Assisting the various business units as a discussion partner to plan, strategise, and grow business by enabling data-driven decision-making
• Serving as in-consultant who simplifies complex terminologies into more understandable insights to our internal clients
• Producing actionable insights that will be used to support or devise new strategies

Requirements

• Master's or bachelor's degree in quantitative fields or a relevant field (e.g. Computer Sci) of study
• 3-5 years experience in Data Analyst field
• Experience working with one or more languages for querying (e.g. SQL, PYTHON) >> Excel is a plus
• Experience working with multiple stakeholders across various divisions
• Ability to make inferences from data and devise an appropriate course of actions
• Time management to deliver deadlines
• Satisfactory understanding of English
• Comfortable working with large data sets and numbers
• Self-starter with a can-do attitude