Staff, Data Analyst (Analytics Team) - Coupang Play

• Own the solution. Work through ambiguity to diagnose the decision to be made, metric drift, or logging error - then create defined requirements and drive the cross-functional effort to deliver the right Analytics solution end-to-end.
• Quantify our GTM engine. Develop a deep understanding of our business and how different teams define success - then make sure our data models, metric definitions, reporting and dashboards measure the right metrics to keep teams on track.
• Own metric definitions. Be fluent in the language of your stakeholders - you know that 'user' means something different to Product than to Finance, and can reconcile the difference by thinking systematically instead of leaving the decision to someone else.
• Own the fix. You don't default to only the technical reason when errors occur - you go deeper to investigate if the real problem is the system capturing wrong data, a sub-optimal process, or a data model that no longer matches business needs - and then drive the long-term solution that addresses the deepest failure modes and current stakeholder needs.
• Flex your communication style as needed. You are equally fluent giving executives the narrative and top-line takeaways, and deep diving into data with product and operational teams.
• Scale AI tooling. You can strategically leverage AI tools to enhance analytical capabilities, improve efficiency and drive innovation, both for yourself and across the Analytics team.
• Mentor senior analysts, establish data analytics best practices, and set high engineering and analytical standards for the broader team.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience.
• 7+ years of experience working with complex and unstructured datasets using SQL.
• 7+ years of experience building and maintaining data marts and data pipelines.
• 7+ years of experience developing dashboards and data visualizations for both executives and operational teams.
• 5+ years of experience with experimentation and measurement, including hypothesis testing, experiment design and statistical analyses.
• Track record of presenting robust analyses to executives that influenced decisions.
• Demonstrated ability to mentor and elevate other analysts, establish Analytics best practices and improve ways of working.
• Demonstrated ability to manage multiple technical projects simultaneously in a fast-paced, rapidly evolving environment and prioritize across competing analytics workstreams.

• Interest in / experience with the global video streaming industry and the Korean entertainment market.
• Experience in data modeling, schema design, and data mart development.
• Advanced proficiency with analytical programming languages such as Python, R, SAS, MATLAB.
• Excellent communication, stakeholder management, and documentation skills.
• Ability to communicate effectively in English in a professional environment.

• Application Review – 1st Job Fit Interview - 2nd Tech Focus Interview - Leadership interview – Offer
• 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.

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang will be prioritizing applicants who have a current right to work in Singapore and do not require company sponsorship for an employment visa.
• 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.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
• This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Coupang Play is an OTT video streaming service. We offer a wide range of content, including Original Series, TV Shows, Movies, and Sports.

We are in the business of delivering exceptional storytelling. We produce award-winning scripted and unscripted Original Series, such as “Boyhood”, “Anna”, and “SNL Korea”. We believe Sports can also be elevated by creative storytelling. Play is now an authoritative destination for Sports, broadcasting K-League, La Liga, Bundesliga, F1, NFL, and other leading leagues and tournaments. We also offer some of the latest movies that were just released in local theaters, bringing more exceptional storytelling to our customers.

To ensure that we deliver all content seamlessly, we invest in Engineering, Product, and Design. Coupang Play is available on all mobile devices, tablets, PC, Smart TV, Apple TV, and Android TV. Our teams keep optimizing how customers discover and stream both VOD and Live content. That includes investments in frontend, backend, and infrastructural developments. We also embrace Machine Learning to refine our CX.

We are still very early in our growth stage. If you enjoy solving complex problems using industry-leading technology or unconventional business approaches, please join us. We are building a world-class team of problem-solvers, all dedicated to delivering exceptional storytelling to our customers.

Role Overview

The Analytics team at Coupang Play operates at the intersection of Business, Product, Content, Marketing, and Technology to drive user engagement and monetization. As a Staff Data Analyst, you will partner closely with Business, Content, Product, and Engineering stakeholders to develop self-serve data solutions and analyses that solve complex business challenges, improve decision quality and drive action.

The ideal candidate is highly self-motivated and able to combine the strategic rigor of a Management Consultant with the technical skills of a seasoned Data Analyst. You should be comfortable collaborating with senior leaders, navigating ambiguity, and translating business problems into data-led solutions and narratives that drive strategic decisions and accelerate business growth.