Senior Product Analyst (Search & Discovery)

Coupang · Taipei, Taiwan · по договорённости

Компания
Coupang
Город
Taipei, Taiwan
Зарплата
по договорённости
Уровень
senior
Формат
full_time
Иностранная компания
нанимает русскоязычных

Company Introduction

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Role Overview

Coupang is looking for an enthusiastic Senior Product Analyst who acts as a “customer in the room” to join our Search and Discovery (“S&D”) team. As a Senior Product Analyst for Search and Discovery Team, this person will work directly with senior leaders, Product Managers, Data Analysts, and many engineers located across the globe. You will collaborate with the S&D team members in the Asia time zone. Most about the job is about understanding customer problems, status analysis and finding opportunities, through detailed query analysis, case study and evaluations. You will need to dive deep into real world user queries, trying to understand user intent and context, analyze root causes, identify patterns and opportunities where we can make a difference.

The candidate is expected to be a fast learner with experience working with little to no guidance using sound judgement in a fast paced, goal-oriented, and ever-changing work environment. They will also have strong prioritization abilities to complete a high volume of complex tasks autonomously, and a history of establishing mechanisms to simplify or streamline processes and establish structure. The ideal candidate will be a ruthless problem solver with the demonstrated ability to communicate and respond effectively and efficiently while maintaining flexibility, and most importantly grace under pressure.

Responsibilities

Analyze the quality of search results, starting from understanding the customer intent (semantic intent and not just literal meaning of the key words) behind the search query (including and cultural context), evaluating whether top search results satisfy the search intent, identifying defects and customer pain points

Actively utilize analytics/debugging tools to understand the root causes of search defect (search defect: a case that search result does not satisfy customer intent) , properly categorize and work with engineers to analyze root causes

On behalf of the customer, by actively bringing customer voice in the discussion, drive the user experiment improvement

Training and evaluation data quality is important to machine learning models, this role would be responsible for managing data labeling tasks, working with in-house labeling team and outside vendors to ensure the productivity and quality

Basic Qualifications

Strong written and verbal communications in English/ Chinese

BA/BS Degree or above

Minimum of three years of work experience

Experience working globally for a large, tech, and/or start-up company is a plus

Language skills, fluent spoken English is required, Chinese is mandatory

Preferred Qualifications

Strong data-driven problem solver who keeps asking why until fully understanding the root causes

Ability to work well collaboratively and under pressure. Proven attitude to move with urgency

Willingness to learn up-to-date search technologies and understand how search system works

Detail-oriented, ability to complete work assignments with high quality

Fluent in working with data using Excel

Work experience in eCommerce companies is a strong plus

Familiar with Taiwan culture, users and market is a strong plus

Work experience in these areas is a plus: search quality, data labelling, con

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