Senior Data Analyst - Eats Analytics

Coupang seeks a Senior Data Analyst to join the Eats Analytics team in Seoul. This position centers on using data to inform decisions that shape the Coupang Eats customer experience. Role overview The Senior Data Analyst will work closely with teams developing new solutions for Coupang Eats. Analysis and insights from this role help guide improvements and respond to evolving user needs. What you will do Analyze data to support decisions that enhance the Coupang Eats customer journey Collaborate with teams to develop and refine solutions based on user data Monitor and interpret trends to help teams adapt to changing customer requirements Location This role is based in Seoul, South Korea.

Role overview Coupang Eats seeks a Senior Data Analyst to guide strategic decisions and enhance the user experience for its food delivery platform. This role is based in Seoul, South Korea. What you will do Examine complex datasets tied to food delivery operations and customer behavior Generate insights that shape business strategy and drive product improvements Collaborate with cross-functional teams to spot opportunities and address challenges Share findings and ideas that help boost operational efficiency and customer satisfaction Impact Data-driven recommendations from this position influence daily operations and contribute to long-term improvements at Coupang Eats.

Coupang Eats, part of Coupang Corp., is known for reshaping food delivery in South Korea since its 2019 debut. Based in Seoul, the team recently launched 'Unlimited Free Delivery' in 2024, aiming to make meal delivery more accessible and convenient for everyone. Coupang Corp. is a major e-commerce company with a strong presence in domestic commerce and a reputation for customer-focused innovation. The company blends the agility of its startup roots with the scale of a global public business. Employees are encouraged to take initiative, launch new ideas, and work collaboratively to drive growth. Role overview The Business Development Analyst (Data) role at Coupang Eats focuses on using data to support business growth and improve customer experience. This position offers the chance to work with a team that values innovation, continuous improvement, and bold thinking in the food delivery sector. What you will do Analyze data to identify trends and opportunities in the food delivery market Support business development initiatives with data-driven insights Collaborate with team members from diverse backgrounds Requirements Strong analytical skills and experience working with data Interest in business development and the food delivery industry Ability to work collaboratively and contribute to team growth

About Coupang Eats Coupang Eats is a dynamic food delivery service and the fastest-growing delivery platform in South Korea. Launched in 2019, it has revolutionized the domestic delivery industry, recently surprising the world once more with its 'Unlimited Free Delivery' service in 2024. We continuously strive to provide the best delivery experience to our customers, and our innovations are just the beginning. Our mission is to ensure that everyone asks themselves, 'How did I live without Coupang Eats?' as we challenge ourselves towards a better future. At Coupang Eats, we offer opportunities for individuals to elevate their capabilities. If you wish to grow the business alongside experts from various fields, we invite you to join our team. Position Overview We are looking for a talented Product Manager to oversee our operations in the Japanese market. This role is both exciting and challenging as you will collaborate with world-class product managers, engineers, scientists, and business stakeholders to co-create key capabilities, intellectual property, and expertise for the Japanese market. As a Product Manager, you will define and build crucial components of a new on-demand logistics network that can offer a broader customer base across thousands of stores. This network will include a nationwide team of delivery personnel. You will work with operational partners to establish best practices and transform feedback into actionable features.

About Coupang Eats Coupang Eats is a leading food delivery service and one of the fastest-growing delivery platforms in South Korea, powered by Coupang. Since its remarkable debut in 2019, Coupang Eats has continuously innovated, including the introduction of 'Unlimited Free Delivery' in 2024, aimed at providing an unparalleled delivery experience for customers. This innovation is just the beginning; we are committed to challenging ourselves to ensure that everyone wonders how they lived without Coupang Eats. Join Coupang Eats now to enhance your skills and work alongside industry experts to grow our business. Position Overview We are seeking a passionate Senior Product Manager to lead our product initiatives for the Japan market. This stimulating and challenging role involves collaborating with world-class product managers, engineers, scientists, and business stakeholders to co-create and possess key capabilities, intellectual property, and expertise for the Japanese market. As a Product Manager, you will define and build essential components of a new on-demand logistics network that enables thousands of stores to reach a broader customer base. This network will serve thousands of delivery personnel nationwide. You will work with operational partners to establish best practices and translate feedback into functional enhancements. Key Responsibilities Own the product vision, strategy, roadmap, and KPIs for specific areas related to the shopping experience of Coupang Eats Japan customers. Provide the voice of the customer based on deep understanding and insights. Manage the product lifecycle from inception to launch, including writing product requirements, defining use cases, and setting success metrics. Identify opportunities to improve purchase conversion rates by eliminating friction points in the shopping experience. Inspire the team with the product vision and collaborate with various departments to realize the product. Collaborate with business stakeholders to drive growth for customers, stores, and delivery personnel. Build exceptional shopping and logistics experiences on mobile apps and websites.

Join our dynamic team at Toss as a Data Analytics Engineer, where you will play a crucial role in transforming raw data into actionable insights. You will collaborate with cross-functional teams to identify opportunities for improving our services and enhancing user experiences.

About the Role Toss is looking for a Data Analytics Engineer focused on Financial Operations (FinOps) in Seoul. This position centers on analyzing financial data and supporting decisions that improve financial processes. The work directly impacts how the company manages and optimizes its financial performance. What You Will Do Analyze financial data to support operational decisions Work closely with teams across the company to identify areas for improvement Develop insights that help optimize financial workflows Contribute to the development of fintech solutions by providing data-driven recommendations Collaboration This role involves frequent collaboration with cross-functional teams. Expect to share findings, discuss strategies, and help shape financial operations through data.

Join Our Dynamic Team!The Data Analytics Engineer (Data Engineer) at Toss Securities is an integral part of the Data Warehouse Team within the Data Division.Your focus will be on Data Platform and Data Mart, with opportunities to collaborate cross-functionally.The Mart responsibilities include structuring and managing data from the Toss Securities domain to facilitate analysis through data warehouse and aggregation table creation.Our current team of approximately 7 members brings diverse experiences ranging from 2 to 14 years, with backgrounds in various sectors such as portals, banking, gaming, and startups. Curious About Our Data Division?The Data Division at Toss Securities strives to become a world-class securities firm by leveraging data technology, services, and data-driven decision-making.We foster close collaboration among various data roles, creating an enjoyable working environment.Regular Tech Weekly sessions are held to share expertise, allowing you to engage with and learn from other roles as per your interest. Your Responsibilities Will Include:Designing clear and reliable table structures that can be easily understood and utilized, encompassing architecture design, compliance with standards, data processing logic management, data integrity validation, DQ monitoring, security reviews, and documentation using meta management systems.Collaborating with data users to design data marts and establish pipelines for key business performance analysis.Setting the groundwork for effective data asset utilization through data cataloging and standard management.Proactively addressing essential data processing tasks in a rapidly growing service environment with your colleagues.Enhancing system efficiency by effectively refactoring and optimizing various existing mart tables through data modeling that considers consistency, reusability, and scalability.Designing data marts and constructing pipelines for external/public reporting requirements. We Are Looking For Someone Who:Has a deep understanding of the securities domain or has actively engaged in stock trading.Can clearly define key concepts of the securities domain as a DW data modeler and take the lead in designing easy-to-understand data structures.Has experience simplifying complex data models or automating repetitive issues.Can propose efficient data processing methods while adhering to data standards through smooth communication with various stakeholders.Has experience structuring enterprise tables through defining data standards and building data catalogs.Is capable of independently conducting data warehouse/mart modeling, pipeline construction, and operational tasks.Can present standards from a clear data structure and efficient utilization perspective, rather than just processing simple requests.Is proficient in SQL and can write organized queries considering readability and efficiency.Has experience developing data pipelines based on Hadoop, Airflow, and DBT.May need to have intermediate to advanced skills in PySpark, depending on the situation.Would benefit from having experience with BI tools such as Tableau. Resume Tips:Detail impactful projects you have worked on.If you have improved services, quantify the results (omit sensitive external information).Elaborate on your work related to data governance.Include business analysis or reporting experience.

About the Team You'll Join The Data Analytics Engineer at Toss Securities is part of the Data Warehouse Team within the Data Division. Your responsibilities will be focused on Data Platform and Data Mart tasks. While your primary focus will vary, you will also engage in cross-functional projects. The Platform tasks involve maintaining and optimizing ETL/Pipeline Tools to effectively manage the DW Mart tables. You will explore and implement new methods to reduce DW operation time with limited resources. Our goal is to maximize data utilization across the organization using tables managed by the DW team. The current team consists of approximately 7 members with varying experience levels ranging from 2 to 14 years, coming from diverse backgrounds including portals, banking, gaming, and startups. Curious about the Data Division? The Data Division at Toss Securities aims to become the world's leading securities firm in data handling, contributing through data technology, services, and data-driven decision-making. We foster close collaboration among various data professionals and enjoy our work. Regular Tech Weekly sessions allow us to share expertise, and you can freely engage with different teams to learn from each other. Your Responsibilities Experience and contribute to an efficient DW environment within a rapidly growing agile organization. Design data marts and develop and automate DW Data Workflows based on the Hadoop Ecosystem and open-source solutions. Identify and implement methods for structuring and automating numerous DW/Mart tables. Process large volumes of data swiftly and effectively to create and manage various features. Establish Data Quality Checks and Governance within the data marts. Experience in deriving and establishing system requirements for large data processing and analysis is a plus. Ideal Candidate At least 5 years of experience as a Data Engineer is essential. You should possess a fundamental understanding of RDBMS, Hadoop Ecosystem, and Data Warehousing. Proven experience in leading the design, construction, and operation of data marts is required. You should be capable of installing, operating, and troubleshooting Airflow, DBT, and Django, with the ability to modify open-source tools to develop features needed for securities DW. Experience in simplifying complex problems or automating repetitive tasks using data models is critical. Extensive experience in efficiently processing big data using Spark is highly desirable. Intermediate proficiency in Python and advanced skills in SQL are required. Resume Tips If you have resolved critical issues while operating platforms or optimized performance and system resource usage, please include those experiences. Be specific about impactful projects you have worked on. If you have addressed bugs or issues while using open-source tools, or developed or enhanced features, please detail those experiences. Highlight the results of any improvements made in actual services, quantified if possible (please exclude sensitive information if necessary). Join Toss Securities Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation >...

# Join Us in the Domain- Commerce: Our commerce domain, initiated to enhance simple payment solutions, has grown to provide both group buying and administrative services for sellers. You will own the data for the commerce domain and play a crucial role in expanding our services, significantly contributing to Toss's growth.- Ads: You will take ownership of the advertising domain data to deliver meaningful ads to Toss users. Toss Ads is the most effective performance advertising platform in Korea, and you will help build a solid foundation for its efficient utilization.- Pay: As a key area of finance, the payment domain significantly steers Toss's growth. You will facilitate connections with various merchants and external organizations to develop Toss Pay, ensuring smooth analysis and insights from payment data.- Growth: Focused on enhancing user engagement and economic value, you will strategize and execute plans for the growth of new services and cross-activation of Toss users.- Business: Placed within the business organization that drives revenue growth for Toss, you will utilize comprehensive data across various domains to provide insights for business analytics and revenue growth strategies.- An interview process will determine the most synergistic domain for your placement, considering your strengths and the organization's needs.- **Want to learn more about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)

Welcome to the daangn Team!At daangn, we strive to create an environment where individuals can grow alongside the company’s success.We are here to assist you in making meaningful connections with fantastic colleagues. Introducing the Data Valuation TeamThe daangn team is dedicated to discovering valuable information that connects neighborhoods and resolving inconveniences in local living. To generate this user value, we must provide easy access to reliable information for decision-making. While we already utilize vast amounts of data for our decisions, maximizing the value of our data requires substantial change.The vision of the Data Valuation Team is to "make user-centric decisions through daily data utilization." We take the lead in addressing and solving the issues of data valuation.Role of the Data Analytics EngineerThe Data Analytics Engineer ensures that data is utilized reliably and consistently, working across data modeling, engineering, and analysis to deliver value to the business and its users.In the diverse service environment of daangn, the Data Analytics Engineer will design and improve the overall flow of data collection to utilization, enabling analysts, engineers, and product teams to leverage data reliably.Moreover, the role involves designing data marts, managing quality, operating data governance frameworks, and performing basic analyses or experiments to support data-driven decision-making. Discover the Journey of the Data Valuation Team with daangn (Google Data Webinar) Learn about daangn's Metric Platform KarrotMetrics The 7 Challenges daangn Faced While Implementing DBT and Airflow How daangn's Data Engineers Simplified Modeling with DBT (2024 Data Conference) Mapping daangn Data: Column Level Lineage Building No Need to Always Pull Everything? Building MongoDB CDC at daangn Why daangn Implements User Activation Engagement in 3 Key Areas

Role Overview Coupang is hiring an Advertising Sales Planner for Coupang Eats in Seoul, South Korea. This position focuses on planning and executing advertising campaigns that connect with customers and support business goals. What You Will Do Strategize and run advertising campaigns for Coupang Eats Work closely with cross-functional teams to design marketing solutions Support brand visibility and help drive sales through effective advertising Analyze market trends and customer preferences to guide campaign direction Who We’re Looking For Strong creativity and analytical thinking Interest in both marketing and technology Ability to collaborate with teams across the business

Join Our TeamThe Data Analytics Engineer at Toss Securities is a key member of the Data Warehouse Team within the Data Division.Your responsibilities will focus on our Data Warehouse Platform, Business Mart, and CPC Mart.The CPC (Central Point of Contact) Mart is designed to establish a reliable data infrastructure that meets various regulatory demands (CPC, disclosures, periodic reports) while enhancing Toss Securities' external credibility and internal operational efficiency through automation and advancement.We are enhancing and refining the information shared with Business Mart and the proprietary data required for CPC.Our team consists of around 7 members with diverse backgrounds, ranging from 2 to 14 years of experience in various sectors such as portals, finance, gaming, and startups.Your ResponsibilitiesImplement and respond to external requests from regulatory authorities (CPC, disclosures, periodic reporting) through our systems.Design, build, and manage necessary data marts and dashboards for the required reports.Ensure the reliability of reporting systems through data integrity and quality management (DQ).Collaborate with various departments (domestic/international trading ledgers, accounts, compliance, PM, etc.) to provide data support for data-driven decision-making.Systematically manage reporting tasks based on legal frameworks.Establish a foundation for effectively utilizing data assets through data cataloging and standard management.Proactively resolve essential data processing tasks in our rapidly growing services through collaboration with colleagues.Enhance system efficiency by refactoring and optimizing existing mart tables through data modeling that considers consistency, reusability, and scalability.Who We Are Looking ForExperience in CPC-related tasks is preferred.A strong knowledge of the securities domain or active experience in stock trading is a plus.You should be able to clearly define key concepts in the securities domain as a DW data modeler and lead the design of understandable and clear data structures.We need someone who has experience simplifying complex data models or automating repetitive problems.You should be able to propose efficient data processing methods while maintaining data standards based on smooth communication with various stakeholders.Experience in defining enterprise data standards and structuring tables through data cataloging would be beneficial.You must possess the capability and experience to take the lead in data warehouse/mart modeling, pipeline construction, and operations.You should be able to provide standards from the perspective of clear data structures and efficient data utilization, rather than merely processing simple requests.Strong SQL skills are required, with the ability to write efficient and readable code.Experience in data pipeline development based on Hadoop, Airflow, and DBT is a plus.In some cases, a basic understanding of pySpark may be required.Experience with BI tools (such as Tableau) is a plus.Resume RecommendationsDetail your experience designing and building Data Warehouses considering requirements and data infrastructure environments.Include the problems you wish to solve and how you approached and resolved them.Highlight your important table design methodologies while building Data Warehouses in your resume.Detail any work you have done related to data governance.Include specific experiences where you boosted data utilization by leveraging DW tables, such as business analysis or reporting automation.Be specific about your experience managing data quality, such as handling duplicates or outliers.

Join Coupang Eats as a Strategic Partnership Development Expert, where you will play a crucial role in driving partnerships that enhance our services and expand our market presence. In this dynamic position, you will collaborate with key stakeholders, identify strategic opportunities, and implement initiatives that align with our growth objectives.

About the Data Reliability Team The Data Reliability Team at Toss, part of the Data Platform Tribe, focuses on monitoring the company’s data assets end-to-end. The team identifies critical data points, manages data quality checks, and oversees the full data lifecycle. Formed to address the lack of visibility into how backend and frontend code deployments affect data, features, models, and serving processes, the team plays a key role in maintaining trust in Toss’s data infrastructure. What You Will Do Design and build pipelines to generate features used across the organization, including inputs for machine learning models, Elasticsearch indices, Redis, and API responses. Develop and operate systems for feature quality management, such as retention policies and data quality maintenance. Directly develop common features that serve multiple teams within Toss. Review existing metadata for features and models, and work to fill any gaps in metadata coverage. Create processes to detect ad-hoc features and promote them to Verified Features status. Systematically manage data quality and assess the impact of data as it flows into online serving and machine learning systems. Who We’re Looking For Experience in feature engineering or in designing and building a feature store. Proven ability to design and build large-scale data pipelines using tools such as Spark, Flink, or Kafka. Familiarity with data lineage or metadata management systems is a plus. Experience building or operating data quality monitoring systems is also valued. Application Tips If you have designed or operated a feature store, please describe its structure and the challenges it addressed in your application. Include examples of how you have systematically resolved data quality issues. Hiring Process Application Job Interview Cultural Fit Interview Reference Check Compensation Negotiation Final Acceptance and Onboarding Why Join Toss as a Data Analytics Engineer This role offers the chance to set the standard for organization-wide features at Toss. Help design processes and management systems, and lead the development and operation of shared data infrastructure that supports the company’s growth. Location Seoul

About UsCoupang exists to deliver an extraordinary customer experience. When our customers ask themselves, 'How did I live without Coupang?', we know we have fulfilled our mission. Driven by a singular dedication to making shopping, dining, and life easier for our customers, Coupang leads innovation across the multi-billion dollar e-commerce industry. As one of the fastest-growing e-commerce companies, we have established a unique position in the domestic commerce sector and built customer trust.Coupang proudly identifies as a publicly traded company rooted in startup culture. This agile approach from our founding continues to drive our growth as we constantly launch new services and expand our business. Every employee at Coupang is empowered with an entrepreneurial spirit to drive new innovations and initiatives. Our fearless approach to achieving results defines how we work at Coupang, where you will witness daily growth for yourself, your colleagues, your team, and the entire company.Every Coupang employee is genuinely committed to our mission of shaping the future of commerce. We are dedicated to resolving customer challenges, defying traditional conventions, and surpassing achievable limits. If you seek an amazing work experience in a high-tech, always-on, hyper-connected world, join us at Coupang today.Coupang Eats is our food delivery service, rapidly becoming the fastest-growing delivery platform in South Korea. Launched in 2019, Coupang Eats surprised the industry with its 'Unlimited Free Delivery' in 2024. This is the result of our relentless efforts to provide unparalleled delivery experiences to our customers. The innovations we have introduced are only the beginning, and we will continue to challenge ourselves to create a future where everyone wonders, 'How did I live without Coupang Eats?' Join Coupang Eats to enhance your capabilities and grow our business alongside industry experts.

Join Coupang as a Senior Brand Manager for Eats Ads, where you will play a pivotal role in defining and executing advertising strategies for our Eats platform. You will collaborate with cross-functional teams to drive brand growth, enhance customer engagement, and optimize advertising campaigns. This is a unique opportunity to leverage your expertise in brand management to make a significant impact in a rapidly growing sector.

About UsCoupang exists to create customer delight. We aim to ensure that our customers think, 'How did I live without Coupang?' This realization signifies our mission's fulfillment. Through unwavering commitment to making shopping, dining, and everyday life convenient, Coupang spearheads innovation across the multi-billion dollar e-commerce industry. Recognized as one of the fastest-growing e-commerce companies, Coupang has established a unique position in the domestic market, earning the trust of our customers.We take pride in being a globally listed company rooted in a startup culture. This maintains the agility we had at our inception, allowing us to consistently launch new services and expand our business. Every employee at Coupang is granted the opportunity to embrace entrepreneurship and drive new innovations and initiatives. The boldness to dive into work without hesitation is the essence of how we operate at Coupang. Here, you will witness the growth of yourself, your peers, your team, and the entire company every day.All Coupang employees are genuinely committed to our mission of shaping the future of commerce. We are dedicated to solving customer problems and breaking through traditional norms to exceed feasible limits. If you seek an amazing work experience in a hyper-connected world with high availability and cutting-edge technology, join Coupang today.About Coupang EatsCoupang Eats is Coupang's food delivery service and is rapidly growing as a delivery service in South Korea. Since its remarkable entry into the domestic delivery market in 2019, Coupang Eats has once again astonished the world with its 'Unlimited Free Delivery' initiative in 2024. This reflects our relentless efforts to provide the best delivery experience for our customers.The innovations we have introduced so far are just the beginning. We will continue to challenge ourselves toward a better future where everyone can enjoy better meals. Coupang Eats offers opportunities to enhance the capabilities of its members. If you want to grow the business alongside experts in various fields, join Coupang Eats now.Job DescriptionThis position is responsible for planning and executing key programs to accelerate brand sales and growth within the Coupang Eats organization. The Sr. Program Manager goes beyond mere operations, leveraging data-driven insights to enhance sales productivity and lead improvements in brand partner performance through strategic decision-making. The role involves designing actionable strategies that operate effectively in sales environments and structuring them into scalable systems, processes, and dashboards.

The Business Development Specialist (L4) will join the Coupang Eats team in Seoul, South Korea. This role centers on advancing Coupang Eats’ business strategies and expanding its reach in the food delivery market. Role overview This position works closely with teams throughout Coupang to identify new business opportunities. The specialist manages important partnerships and supports the rollout of new initiatives designed to strengthen Coupang Eats’ position in the sector. How to apply To apply, fill out the Internal Transfer Request Form and submit it using your Coupang email account.

Join Our Dynamic Team As a Data Analyst at Toss Securities, you will be part of our data analytics team. Our Data Analytics (DA) team comprises two main segments: the enterprise analytics unit and the product analytics unit, where you will be contributing to product analysis. Our team is diverse, with members hailing from finance, gaming, e-commerce, O2O, and portal backgrounds, bringing a wealth of experience. Your Responsibilities Support data-driven decision-making for our product development teams. Quantify team goals and identify key levers to achieve them, providing direction for prioritization. Contribute to product enhancements through A/B test design and result analysis, leveraging various analytical methodologies for insights. Ideal Candidate Profile Proficient in SQL for data extraction and cleansing. High-level understanding of mobile service data analysis methods (Customer Lifetime Value, Retention, Cohort Analysis, etc.). Experience in setting hypotheses and conducting experiments to improve services. Demonstrated ability to design A/B tests and derive meaningful results. Familiarity with data visualization tools (such as Tableau) is a plus. No strict experience level is required; we value insights gained from diverse experiences. Resume Recommendations Detail impactful projects from your experience. Clearly outline the problem definition, hypothesis setting, experimental design, and result validation processes. Share experiences where you deepened user understanding through data analysis and proposed actionable strategies. Confirm proficiency in mobile service data analysis methods (LTV, AARRR, Cohort, Funnel, etc.). If objectives were met, quantify improvements in metrics like churn rate, conversion rate, and revenue. (Please omit sensitive information if necessary.)