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| About the Organization
The Business Intelligence (BI) operates as a CEO-direct organization with the mission of strengthening Gmarket¡¯s data-driven decision-making framework and enhancing overall business competitiveness.
The team integrates and analyzes company-wide business metrics and core datasets to support strategic decision-making across leadership and business units. Beyond reporting, the Business Analytics team connects problem definition ¡æ data analysis ¡æ insight generation ¡æ execution direction, acting as a data partner that directly influences business decisions.
| Key Responsibilities
(¡Ø This role is expected to own core analysis tasks and collaborate closely with business stakeholders.)
¡á Business Data Analysis & Insight Generation (70%)
- Collect, clean, and analyze datasets related to key company-wide business metrics
- Conduct data analysis to support business issue analysis and performance monitoring
- Identify patterns and derive actionable business insights
- Collaborate with business teams to support problem definition and data-driven decisions
¡á Reporting & BI Operations Support (30%)
- Manage and enhance KPI-based reporting frameworks and dashboards
- Develop and maintain data visualizations using BI tools
- Support preparation of regular and ad-hoc business reports
- Monitor data quality and maintain consistency of key metrics
| Qualifications
- 3–7 years of experience in Business Intelligence, Data Analysis, or related roles
- Experience using SQL for data analysis and strong Excel skills
- Experience using at least one BI tool (Tableau, Power BI, etc.)
- Ability to structure business problems and derive insights from data
- Strong communication skills to explain analytical insights to non-technical stakeholders
- Ability to work independently and solve problems in a fast-changing environment
- Business-level English proficiency (ability to understand English materials and collaborate globally)
- (Preferred) Experience supporting business decision-making through data analysis in a real business environment
- (Preferred) Bachelor¡¯s degree or higher in a relevant field (Statistics, Industrial Engineering, Information Systems, Computer Science, etc.)
- (Preferred) Experience working with large-scale or complex datasets
- (Preferred) Strong data visualization and storytelling skills
| Common Qualifications
Applicants must be registered members of Gmarket/Auction.
Applicants must have no restrictions on overseas travel.
For male applicants, mandatory military service must be completed or exempted.
Veterans and persons with disabilities are eligible for preferential treatment in accordance with applicable laws.
To receive additional points for veteran status, a ¡°Certificate of Employment Support Eligibility¡± must be submitted to the company.
| Application Method & Recruitment Process
Application Deadline: April 7, 2026, 11:59 PM (KST)
How to Apply: Apply via the Gmarket Careers website
(https://careers.gmarket.com)
Recruitment Process*:
Application Screening ¡æ 1st Interview ¡æ 2nd Interview ¡æ Final Offer
* This role requires working in an English-speaking environment.
All application materials (including resumes and portfolios) must be submitted in English.
In addition, a Korean resume is also required for internal review purposes.
* Interviews may be conducted in English and/or Korean.
* The interview process and format may be subject to change depending on circumstances.
* Detailed information will be provided individually to successful candidates.
This recruitment is conducted on a rolling basis and may close early once suitable candidates are identified.
Please note that applications cannot be modified after final submission.
| Additional Information
Submission of basic information (full name, phone number, email address, Korean & English resume, and relevant work experience duration) is mandatory. All other information is optional.
If you experience repeated system errors, please access the site using Google Chrome.
Any false information or submission of fraudulent documents may result in cancellation of employment.
For further inquiries, please refer to the FAQ or use the ¡°Contact Us¡± option available via the post-application email or KakaoTalk notification.