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Experience Level
Experience
Qualifications
Ideal candidates will possess a background in IT planning, business analytics, or related fields. Strong analytical skills, proficiency in data manipulation, and experience with business intelligence tools are essential. Candidates should also demonstrate excellent communication skills and the ability to work collaboratively in a fast-paced environment.
About the job
This Staff role in IT Planning at Coupang centers on business controlling and analytics. Based in Seoul, the position plays a key part in supporting strategic planning and providing insights that shape operational efficiency and business decisions.
Main responsibilities
Work on IT Planning activities with a focus on business controlling and analytics
Analyze company data to spot trends and offer practical recommendations
Support strategic planning that affects daily operations
Identify ways to improve processes and boost efficiency using data-driven analysis
Requirements
Background in business controlling, analytics, or a closely related area
Strong analytical skills and experience working with data
Ability to turn analysis into clear, actionable business insights
Collaborative mindset and effective communication skills
About Coupang
Coupang is a leading e-commerce platform in South Korea, recognized for its commitment to customer satisfaction and innovative logistics solutions. We strive to create a seamless shopping experience and are constantly pushing the boundaries of technology and user experience.
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.
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
# 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/)
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
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 >...
# About the Team- The Data Mart Platform Team is dedicated to building a standardized Data Warehouse for various Toss products, aiming to prevent data silos and enhance overall data maturity across the organization.- Responsibilities include enhancing centralized DW quality management processes, standard monitoring, integrating product data with the enterprise data mart, designing efficient pipelines, and creating standardized marts.- **Interested in learning more about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/) # Responsibilities- After completing an onboarding process to familiarize yourself with Toss's DW standards, you will work as part of the Data Mart Platform Team.- Maintain and manage an agile and manageable enterprise DW standard, taking responsibility for DW quality management from an enterprise perspective in collaboration with DAEs (Domain Analytics Engineers) from various product domains (development and execution of standard management monitoring).- Plan and execute systems and processes to enhance data reliability, improving table consistency, advancing DQ rules, and establishing health check metrics.- Develop enterprise-level marts, managing the integration of standard marts from different domains and ensuring efficient data pipeline improvements.- Identify and execute tasks to enhance data discoverability across the organization.- Develop a platform to measure data maturity across various Toss domains and initiate projects to enhance the productivity of DAEs.- The data development environment is based on Hadoop, Airflow, Python, and SQL (Impala). # Desired Qualifications- Understanding of database normalization and the fundamental characteristics of Data Warehouses (Subject-Oriented, Integrated, Non-Volatile, Time-Variant).- Ability to clearly define key concepts as a DW data modeler and propose efficient data structures based on diverse data perspectives.- High-level understanding of DW standard management and the capability to propose and lead improvement initiatives at the enterprise level.- Strong comprehension of data governance aspects, including data quality and compliance, with the ability to suggest actionable plans.- Proficient in SQL, capable of writing efficient and readable queries.- Basic Python skills (enough to work with Airflow) are acceptable, but understanding modules and PySpark code written by others is preferred.- Experience with large-scale data processing and designing metrics from an AARRR perspective is a plus. # Application Tips- Please specify any relevant experience with DW construction projects and mart design, detailing your contributions.- Mention specific challenges you have addressed regarding data maturity.- Outline your contributions and lessons learned while solving data-related issues. # Joining Toss - Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Discussion > Final Acceptance and Onboarding # A Note to Future Colleagues > "Our team strives for better service every day." - I was drawn to the thrilling risks associated with financial data and saw that my growth could contribute to the company's success, which is why I joined Toss. - The most stressful aspect of my previous company was being led by predetermined objectives, but Toss offers more autonomy than I expected, along with a dedicated and ambitious team focusing on "better service every day."
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.
The Senior IT Planning Specialist at Coupang will play a key role in business controlling and analytics, with the position located in Seoul, South Korea. This role centers on supporting data-driven decision-making and enhancing operational processes through analytical insight. Main responsibilities Collaborate with teams throughout Coupang to enable informed, data-backed decisions Apply analytics to identify opportunities for process improvement Contribute to initiatives that strengthen Coupang’s commitment to delivering strong customer experiences Location This position is based in Seoul, South Korea.
At Jellyfish, we harness the power of diverse perspectives and foster inclusive collaboration. We invite individuals who thrive in collaborative, multidisciplinary teams and appreciate the unique contributions that every team member offers.Jellyfish is a global digital marketing agency that seamlessly blends technology enthusiasts, creative thinkers, and data and media specialists. Our mission is to empower clients on their digital journey through innovative strategies that rethink media activation and create compelling narratives for our global clientele and their audiences. Join us in crafting a future where business growth and personal fulfillment are intertwined.Job OpportunityWe are in search of an experienced Analytics Manager to lead our Analytics team in Korea. This pivotal role requires a data-savvy professional who comprehends the local market and is eager to provide exceptional analytics services to our clients in Seoul.Reporting directly to the APAC Analytics Lead, your primary objective will be to bridge the gap between technical data initiatives and our clients' strategic business goals. You will serve as a key advisor for client projects, enhancing their data utilization, while mentoring and training our team of junior analysts. Furthermore, you will play a vital role in collaborating with the senior leadership team on sales proposals and ensuring the consistent quality of our analytics deliverables.Key Responsibilities:**Technical Expert**: Demonstrate expertise in the Google Marketing Platform (GA4, GTM) and Visualization tools (Looker Studio) to guide the team on Web and App projects.**Sales and Proposals Support**: Assist the senior leadership team in articulating our services to clients in an accessible manner. Participate in crafting proposals, estimating project timelines, and calculating costs.**Team Mentorship**: Mentor junior team members by guiding their daily tasks, managing their workload to ensure work-life balance, and training them to hone their technical skills.**Client Lead**: Act as a principal advisor for client projects, developing long-term measurement plans, facilitating client workshops, and assisting clients in launching testing programs (A/B testing).**Quality Control & Documentation**: Ensure the quality of deliverables produced by junior team members, including reviewing tracking plans and troubleshooting complex technical issues.**Process Improvement**: Proactively identify opportunities for enhancing analytic processes.
This Staff role in IT Planning at Coupang centers on business controlling and analytics. Based in Seoul, the position plays a key part in supporting strategic planning and providing insights that shape operational efficiency and business decisions. Main responsibilities Work on IT Planning activities with a focus on business controlling and analytics Analyze company data to spot trends and offer practical recommendations Support strategic planning that affects daily operations Identify ways to improve processes and boost efficiency using data-driven analysis Requirements Background in business controlling, analytics, or a closely related area Strong analytical skills and experience working with data Ability to turn analysis into clear, actionable business insights Collaborative mindset and effective communication skills
Role overview The Staff, IT Planning (Business Controlling & Analytics) position at Coupang is based in Seoul, South Korea. This role centers on supporting business controlling activities and analytics efforts within the IT planning function. The work directly influences how IT initiatives are shaped and managed across the company. Main responsibilities Partner with teams throughout Coupang to refine and enhance IT planning processes. Analyze business data to inform strategic choices and drive operational improvements. Generate insights aimed at optimizing overall business performance. Collaboration This role requires frequent interaction with cross-functional groups. The ability to translate data findings into practical recommendations for IT and business leaders is essential.
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.
Join Our Data Platform Team!As a Data Engineer at Toss, you will be part of our Data Platform Team.The team consists of Data Engineers and Data Analytics Engineers.We are responsible for building platforms and data pipelines essential for analyzing the services provided by Toss.Your ResponsibilitiesDevelop and operate OLAP (Online Analytical Processing) based data pipelines.Design and optimize systems for reliable operation of large-scale data analysis and real-time/batch data pipelines.Develop and manage batch and streaming pipelines to load various types of data generated at Toss.Continuously improve data models and processing logic based on service requirements.We Are Looking For Candidates Who HaveExperience operating services in a Kubernetes (K8s) based environment.Experience in designing and operating data streaming pipelines using Kafka and Kafka Connect.Experience in processing large volumes of data using Apache Spark (Batch/Structured Streaming).Additional Skills That Would Be a PlusExperience in operating and tuning MPP/OLAP engines like StarRocks or ClickHouse.Experience in building Data Lakehouses using Open Table Formats such as Apache Iceberg, Hudi, or Delta Lake.Experience in real-time data processing using streaming frameworks like Kafka Streams or Apache Flink.Experience in designing and operating ETL pipelines based on Airflow.Your Journey to Join TossApplication Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer
At Databricks, we prioritize a proactive culture and a customer-centric approach that drives our mission to provide a unified platform for data science and analytics. We empower our clients to make informed decisions that propel their businesses forward. Our intuitive platform simplifies the process of transforming insights into actionable outcomes, fostering a spirit of creativity, experimentation, and continuous improvement.As a Senior Solutions Engineer, you will play a pivotal role in this mission, leveraging your technical expertise to illustrate how our Data Intelligence Platform can address complex data challenges faced by our customers. You will be part of a collaborative, customer-focused team that values innovation and creativity, using your skills to craft tailored solutions that help clients achieve their objectives. Join us on our journey to revolutionize the way people interact with data and contribute to a better world!
쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 개요: Coupang Ads는 쿠팡 내에서 광고 플랫폼을 담당하는 조직입니다. 세계 곳곳에 분산되어 있는 조직인 Coupang Ads는 쿠팡 플랫폼에서 상품을 판매하는 업체들을 위한 광고 솔루션을 제공하는 데 집중합니다. 디스플레이 광고, 검색 광고, 성과형 광고, 브랜딩 광고, 비디오 광고 등이 Coupang Ads가 제공하는 광고 솔루션에 포함됩니다. Ads Analytics 팀은 쿠팡 광고 솔루션의 수익을 극대화하고 사용자가 광고에서 가치를 얻고 전체 광고 비즈니스에 걸쳐 프로덕트 전략을 수립할 수 있도록 지원합니다. 데이터를 통합하여 실행 가능한 통찰력을 제공하고, 복잡한 비즈니스 질문에 답변하며, 고객에 대한 심도 있는 이해를 돕고 있습니다. 우리는 Ecommerce 뿐 아니라 Eats앱에서의 쿠팡 광고 사업에 초점을 맞추고 있으며, KPI를 분석하고, A/B 및 다변수 테스트 이니셔티브의 성공을 분석함으로써 이를 수행하고 있습니다. 담당 업무: 제품 및 수익화 전략: 다양한 입찰 및 수익화 모델을 개발하고 테스트하며, 변화가 수익에 미칠 수 있는 영향을 시뮬레이션합니다. 지표: 상품 채택, 사용, 성과 및 이탈에 대한 보고에 사용되는 일련의 핵심 성과 지표(KPI)를 제공합니다. 그룹의 수익화 노력이 효과가 있는지 파악할 수 있도록 가시성을 제공합니다. 예측: 인벤토리 및 수익 예측 모델을 수익 최적화 프로세스의 중요한 구성 요소로 설계 및 유지, 관리합니다. 판매 패턴을 분석하여 동향을 파악하고 재무 예측을 지원합니다. A/B 테스트: A/B 테스트를 설계, 수행, 분석 및 인사이트를 발굴하여 상품 이터레이션에 대해 알리고 우선순위를 정합니다. 통계적 엄밀성을 가지고 이를 수행하고 시험 결과 동인에 대한 "왜?"라는 질문에 대답하기 위해 코호트 연구를 수행합니다. 간결한 스토리 전달: 테스트 완료 시 시의적절하고 설득력이 있으며 사실에 기반한 테스트 내용을 정리해 데이터와 테스트 결과에 숨겨진 비즈니스 “스토리”를 강력히 전달합니다.
Role overview Zeeco, Inc. seeks a Controls Engineer based in Seoul. This position centers on designing, implementing, and maintaining control systems used in industrial settings. The work plays a key part in optimizing processes while meeting strict standards for safety and efficiency. What you will do Design and implement control systems for a range of industrial projects Maintain and troubleshoot existing control systems to ensure reliable operation Collaborate with teams from different disciplines to enhance processes Contribute to safety and efficiency initiatives across multiple projects Impact Projects at Zeeco, Inc. often address complex industrial challenges and have a global reach, requiring practical and innovative solutions.
Role overview The Compiler team at FuriosaAI builds the software stack that enables machine learning models to run efficiently on the company’s AI accelerator hardware. This Software Engineer - Compiler (AX Engineer) role is a new position based at the Seoul headquarters. The focus is on developing and refining AI-assisted engineering workflows, identifying bottlenecks, running experiments, and building tools and guides that the team can use repeatedly. While the role is part of the Compiler team, deep compiler expertise is not required. Daily work includes code reviews, debugging, CI and testing, documentation, and project management. This position is a good fit for someone who enjoys shaping new roles and working through open-ended challenges. What you will do Identify challenges and opportunities in engineering workflows, including development, code review, debugging, CI/testing, documentation, and project delivery. Research, prototype, and benchmark AI and automation tools, such as coding agents, LLM-assisted reviews, and debugging assistants, using real team workflows. Create and maintain prompt libraries, workflow templates, and integration guides tailored to team needs. Improve CI/testing feedback and signals with the goal of reducing flaky tests and streamlining failure triage. Lead onboarding sessions and regular Q&A meetings to share knowledge about new tools. Define and track metrics like PR cycle time, review turnaround, regression triage time, and CI flakiness, iterating based on findings and team feedback. Stay current on developments in the AI tooling ecosystem and keep the team informed about relevant updates. Requirements At least 3 years of experience in software engineering. Hands-on experience with LLM-based coding tools (such as GitHub Copilot, Cursor, Claude Code, or Codex). Strong understanding of software development workflows from an engineer’s perspective. Ability to quickly evaluate new tools and provide practical guidance to the team. Preferred qualifications Bachelor’s degree in Computer Science or a related field.
Join ASM, where innovation meets collaboration. With over 55 years of pioneering advancements, ASM stands as a leader in technology and innovation. Our team of over 4,500 employees from 70 different nationalities drives the development of cutting-edge semiconductor devices that play a critical role in trends like 5G, cloud computing, AI, and autonomous driving. Beyond being a tech company, we prioritize diversity, inclusion, and sustainability efforts aimed at positively impacting the world. Our dedicated development programs are designed to foster your growth, shaping your career while pushing the boundaries of innovation.Job MissionAs an Engineer II, Equipment Engineering at ASM, you will play a vital role in the development, installation, and ongoing operation of advanced R&D equipment for new product initiatives. This position is perfect for engineers who possess a solid understanding of semiconductor equipment support and are eager to enhance their hands-on technical skills within a collaborative R&D setting.You will collaborate closely with cross-functional engineering teams to guarantee equipment reliability, safety, and optimal performance, directly contributing to the success of new product design and development activities. Key ResponsibilitiesFacilitate the installation, upgrades, troubleshooting, and preventive maintenance of R&D equipment during the new product development phase.Assist in first builds, equipment bring-up, and product testing in collaboration with R&D and facilities teams.Engage in hands-on troubleshooting and root cause analysis to restore and maintain equipment performance and uptime.Oversee the daily operation and monitoring of R&D lab equipment, ensuring stable and reliable tool performance.Collaborate with Hardware, Electrical, Process, and Software engineers during the equipment development and integration phases.Adhere to established best-known methods (BKM) and support the documentation of service, preventive, and corrective maintenance procedures.Comply with safety standards and standard operating procedures in all equipment-related activities.Elevate complex or recurring equipment issues to senior engineers as necessary and assist in resolving them.Participate in continuous improvement initiatives to enhance equipment reliability, efficiency, and usability.
