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Full-time
bachelor degree, postgraduate degree
Posted 2d ago
~40 hrs/week
Responsibilities
Define and track KPI metrics and create business reports to provide actionable operational insights. Lead data simulations for new projects and collaborate cross-functionally to support data-driven business decisions.
Requirements
Requires over 3 years of experience in SQL and data analytics, with proficiency in big data technologies and data visualization tools. A degree in Statistics, Industrial Engineering, or a related field is preferred, along with proficiency in Mandarin and English.
Full job description
Data Analysis Specialist (TW Logistics)
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 Overseas” 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:
TW Logistics Data and Analytics team is responsible for domains closely related to the delivery process after shipment, including the delivery network, delivery status, and delivery personnel. To support this, the team handles the entire end-to-end spectrum, including data cleansing, simulation, pre- and post-project impact analysis, data mart design, development and optimization, and report development.
What You Will Do:
KPI Definition and Reporting: Define and track KPI metrics, create andmanage business reports, collaborate with multiple teams to uncover high-level insights, and present findings to key stakeholders and executives.
Operational Reporting and Insights: Responsible for reporting and insightsfrom an operational perspective, including building and analyzing businessdata to provide actionable insights.
Cross-functional Collaboration: Collaborate with Product Managers,Designers, Program Managers, Engineers, and stakeholders to make data-driven decisions.
Project Simulation and Insight Generation: Lead data simulations for newprojects, providing thorough and accurate data-driven insights to supportrational business decision-making.
Essential Qualifications
3+ years’ working experience in SQL and data analytics.
Processes extensive skills in SQL and a wide range of data visualization tools.
Experience working with big data technologies such as Hadoop, Spark, Presto,and Airflow
Proficiency in Excel and Google Sheets, including advanced formula usage for data analysis and reporting.
Proficiency in Mandarin
Attention to the detail with ability to validate data, identify data flaws, andcreate analytical reports.
Great ability to think critically and solve nonstructural problems.
The ability to take work into your own hands with a sense of responsibilityand exercise judgment to act in a fast-paced and dynamic environment.
Strong communication skills to share analysis results in clear and concisemanners.
Middle level English skills (both verbal and written).
Preferred Qualifications:
English skills (intermediate)
Educational Background: Bachelor’s or Master’s degree in Statistics, Industrial Engineering, or a related field. Equivalent professional experience will also be considered.
Analytical Skills : Strong critical thinking and problem- solving abilities, especially in handling unstructured problems. Detail-oriented with a high level of accuracy.
Initiative & Ownership : Proactive and self-driven, with a strong sense of responsibility. Capable of prioritizing tasks and making sound decisions in a fast-paced, dynamic environment.
Technical Proficiency : Hands-on experience with Python, R, SAS, or other statistical software/tools.
Communication: Able to clearly communicate analytical
insights and collaborate effectively across teams.
Remuneration
Monthly salary of more than NT$ 40,000 (fixed or variable salary varies depending on personal qualifications or performance).
The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
This job posting may be closed prior to the stated end date for application if all openings are filled.
Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Equal Opportunities for All
Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.
Related keywords
SqlData AnalyticsHadoopSparkPrestoAirflowPythonRSasKPI DefinitionData Mart DesignData CleansingSimulationLogisticsBig DataData Visualization
Coupang is a U.S.-based Fortune 150 tech company listed on the New York Stock Exchange (NYSE: CPNG).
Industry
Software Development
Company size
10,001+ employees
Founded
2010
Headquarters
Seattle, Washington
LinkedIn followers
262,679
Total funding
$3.4B
Coupang is a technology and Fortune 150 company listed on the New York Stock Exchange (NYSE: CPNG) that provides retail, restaurant delivery, video streaming, and fintech services to customers around the world under brands that include Coupang, Eats, Play, Rocket Now, and Farfetch.
Offices: 720 Olive Way, Seattle, Washington 98101, US · 570, Tower 730, Songpa-daero, Songpa-gu, Seoul, Seoul 05510, KR · 605 Fairchild Dr, Mountain View, CA 94043, US · 2889 Jin Ke Lu, Pudong Xinqu, Shanghai, Shanghai 201203, CN · Wangjing West Garden, Chaoyang District, 10F Botai Building, Beijing, Beijing 100022, CN