Principal, Financial Planning and Analysis (Capex Finance)

Coupang seeks a Principal, Financial Planning and Analysis (Capex Finance) to join its team in Seoul, South Korea. This senior position centers on providing financial insights and supporting key decisions related to capital expenditure projects throughout the company. Role overview The Principal will play a central part in analyzing and guiding Capex initiat…

Join our dynamic team at Toss Careers as a Data Analyst specializing in advertising. In this role, you will leverage your analytical skills to drive data-driven decisions and optimize advertising strategies. Collaborate with cross-functional teams to uncover insights, enhance campaign performance, and contribute to the growth of our advertising initiatives. Your expertise in data analysis will directly impact our success and innovation in the advertising space.

Role overview Toss Careers is seeking a Data Engineer in Seoul to strengthen its advertising initiatives. The position centers on creating data solutions that guide advertising choices and enhance campaign results. Close collaboration with colleagues from different teams is a key part of the role. What you will do Build and maintain data pipelines and systems tailored for advertising analytics Use modern tools to process and analyze large volumes of data Work with team members to turn business requirements into technical solutions Transform raw data into practical insights that shape advertising strategy Location This role is located in Seoul.

Role Overview Toss Careers is hiring a Systems Engineer to strengthen our backup infrastructure in Seoul. This position focuses on building, maintaining, and improving backup systems that protect critical data and support business continuity. What You Will Do Design, implement, and maintain backup solutions to safeguard company data Work with teams across the company to troubleshoot and resolve backup-related issues Monitor and optimize backup system performance Identify areas for improvement and help refine backup processes over time Location This role is based in Seoul.

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 Our Team The Data Quality Specialist at Toss Securities will be part of the Data Analysis Team, working closely with Data Analysts. The Data Analysis Team plays a crucial role in driving product and business decisions based on data insights. Key Responsibilities Manage the quality of client logs (web, iOS, Android), which serve as the primary material for data analysis. Design logs for assigned services in alignment with Data Analysts’ analysis plans and communicate clearly to engineers. Write and verify test cases to ensure logs are captured as specified. Quickly identify defects in client logs, raise issues, and drive resolutions. Occasionally conduct data analysis to understand the user perspective of logs. We Are Looking For Experience with SQL is required. Strong communication skills to engage actively with team members across various functions. A proactive approach to achieving results beyond assigned tasks and situations. Experience working in an IT organization is preferred. Experience defining or handling user client logs is advantageous. Understanding of basic service metrics such as AARRR, CTR, CVR, PV, UV is a plus. The Journey to Join Toss Securities Application submission > Pre-query test > Job interview > Cultural fit interview > Final acceptance. Resume Tips If you have experience collecting, processing, or analyzing raw-level data, please specify. Highlight any experiences where you aimed to deliver results beyond assigned duties. Important Notes This position is for a contract role, with a duration of one year. Any false statements in the resume or disciplinary actions in work history may lead to termination of the hiring process. Applicants with restrictions according to Toss Securities’ policies may be disqualified.

About the Team You Will Join- As a Data Operations Specialist at Toss Bank, you will be a part of the Corporate Initiatives Team within the Strategy Tribe under the Strategy Division.- The Corporate Initiatives Team is responsible for deriving insights for corporate-level decision-making and identifying innovative initiatives, playing a key role in corporate planning.- You will collaborate with various teams to enable data-driven decision-making within the organization, interpreting Toss Bank's current state and shaping its future.Your Responsibilities- Collaborate with Business Data Analysts and Corporate Strategy Managers to support data analysis tasks within the tribe.- Extract data necessary for management decision-making as per team requests.- Maintain and update internal Tableau dashboards, incorporating feedback and requests.Ideal Candidate- Must have the ability to write basic SQL queries.- Experience with Tableau dashboards and creating/operating Airflow DAGs is required.- Strong collaboration skills to communicate effectively with team members.Resume Submission Recommendations- We expect your resume to include significant examples that align with the qualities we desire in a candidate rather than just listing experiences.- Please clearly state your personal details and activities (education, extracurricular activities, internships) with specific timings and content.The Journey to Joining Toss Bank- Application submission > Job interview > Cultural fit interview > Final acceptance and onboarding.Please Note- This is a contract position with a duration of 1 year.- If any false information is found in your resume or disciplinary issues are confirmed during your work history, the hiring will be canceled.- Candidates who fall under the disqualification criteria according to Article 8 of Toss Bank's employment regulations may have their application canceled.- Individuals with disabilities and those eligible for national veterans' benefits will be given preference according to relevant laws.

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.

Join Coupang as a Senior Financial Planning & Analysis (FP&A) Professional in the Retail Finance division. This role offers an exciting opportunity to enhance financial decision-making processes and contribute to our strategic goals. You will work closely with various departments to analyze financial data, forecast performance, and provide insights that drive business success.

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

# Data Product at Toss Bank- The Data Product team views data as valuable, creating user-friendly data-centric products.- Data Products are built on data pipelines, analytics systems, and machine learning models, making them easily accessible for individuals and systems.- Our Data Products must ensure clarity in value delivery, with attributes such as consistency, reliability, regulatory compliance, security, usability, scalability, and reusability.- We offer completed service-oriented Data Products like recommendation systems, fraud detection systems (FDS), optical character recognition (OCR), speech-to-text (STT), and dashboards, as well as reusable and combinable Data Mart/API products.# Role Overview- As a Data Product Manager (Mart, API), you will define and manage the company's data as a 'product'. Your responsibility is to provide data in a timely, accurate, and user-friendly manner to internal analysts, engineers, and planners, thereby accelerating data-driven decision-making and driving business growth.- Upon joining, you will integrate into the Data Division, developing and executing the roadmap for data products centered around enterprise data marts and APIs.# Responsibilities- Define and execute the roadmap for data products based on Data Mart and API.- Identify data consumer requirements (VOC) to define data structures, schemas, and access methods (APIs), designing the best developer experience.- Collaborate closely with Data Engineers, Analysts, and operational departments to bridge the gap between business requirements and technical implementation.- Lead the design of a scalable and stable data architecture, understanding complex requirements such as data governance, security, and privacy.- Set key performance indicators (KPIs, OKRs) to measure the success of data products and continuously monitor and improve data quality, API response times, and usage.- Shape the overall data strategy of the organization, designing and executing a long-term vision of 'creating business value through data'.# Ideal Candidate- We are looking for someone with experience or deep understanding of planning and launching data products such as Data Marts, data warehouses, API platforms, and BI tools.- Preferred candidates will have experience leading technically challenging or ambiguous projects to completion.- We seek individuals who can create incremental outcomes while considering both business impact and technical feasibility.- Ideal candidates will want to engage not just in project management but also in transforming the organizational culture and processes around data utilization, collaborating with diverse stakeholders (analysts, engineers, operational departments) to build stronger teams.- We favor those who approach problems holistically and redefine them when necessary to guide projects in better directions.- Experience designing developer APIs or leading large-scale data pipeline projects is a plus.# Resume Tips- Clearly articulate your contributions to data-related projects.- Present a clear narrative of problem definition, solution derivation, collaboration process, and final outcomes.- Focus on achievements (e.g., increased API usage, improved data quality, contributions to automation) rather than simply listing roles.- Highlight experiences solving complex data/technical problems while collaborating with multiple stakeholders.# Journey to Join Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any falsehoods are discovered in your resume or disciplinary issues are found in your work history, your application may be canceled.- Candidates who fall under disqualifications according to Toss Bank’s internal regulations or hiring disqualifications for financial institutions may have their applications canceled.- Individuals with disabilities and those eligible for national veteran status will receive preferential treatment in accordance with relevant laws.# Colleague's Insight> "You must be able to view Toss Bank's data as a product."- You will play a role in outlining the roadmap for data products based on Data Mart and API, especially in accelerating data-driven decision-making and driving business growth, which offers significant career growth opportunities.

The Central FP&A team at Toss, part of Viva Republica, connects financial analysis with strategic decision-making for the entire Toss community and its subsidiaries. This group works closely with finance teams across all subsidiaries, including FP&A, Accounting, and Tax, as well as product, business, IR, Corporate Development, and Legal teams. AI tools and automation play a key role in their daily work. What you will do Analyze monthly, quarterly, and annual performance to uncover insights that support business decisions. Investigate changes in key financial metrics, revenue, expenses, operating profit, and net income, down to the business driver level. Identify which business, product, or cost levers to prioritize to meet targets, proposing next steps and key questions for leadership. Model financial outcomes for new business initiatives, product launches, pricing changes, and investment decisions. Develop scenarios that consider impacts on profit and loss, cash flow, capital requirements, and tax, both for individual subsidiaries and the consolidated group. Present financial models that clarify assumptions and limitations, even when data is incomplete or uncertain. Lead the creation and management of annual and mid-to-long-term financial plans for the Toss community, integrating KPIs, budgets, and capital plans from each subsidiary. Translate annual plans for each subsidiary into actionable steps aligned with Toss’s long-term goals. Improve tools and processes to make analysis and reporting more efficient, using AI, dashboards, and automation to reduce repetitive work. Continuously refine financial models so they remain clear, robust, and easy to update as business complexity grows. Requirements At least 5 years of experience in FP&A, management accounting, strategy, corporate planning, or investment analysis. Strong financial modeling skills, with a solid grasp of how profit and loss, balance sheet, and cash flow connect for scenario analysis. Ability to spot discrepancies in financial data, understand root causes, and outline future options from a business driver perspective. Skill in turning complex or incomplete data into formats ready for decision-making. Proactive communication skills, with the ability to engage a wide range of stakeholders and build consensus. Creative approach to improving processes, not just following established methods but designing better ones. Preferred experience Background in tackling complex financial and strategic issues at professional firms such as Investment Banking, Strategy Consulting, or PE/VC, or within rapidly growing companies. Experience working with multiple entities or subsidiaries.

About the Team You'll Join The Security Division at Toss Bank comprises several teams including the Security Policy Team, Privacy Protection Team, System Security Team, Network Security Team, Security Red Team, Security Blue Team, IT Service Team, and Security Audit Team. The System Security Team Leader is responsible for safeguarding devices and systems within Toss Bank against various external threats while leading the System Security Team. The Security Division collaborates with various teams to create a safe and reliable service for Toss Bank customers. The System Security Team, in particular, focuses on ensuring secure services from both system/device security and operational perspectives, working closely with product organizations, legal and compliance, platform engineering, and internal audit teams. Responsibilities You'll Have Develop and execute operational plans for device and system information security solutions to protect Toss Bank's customers, leading the team's technical growth and implementation. Design and enhance integrated security operations for device security, system security solutions, AI, and supply chain security. Establish strategies to ensure visibility from a systems security perspective and create an environment that supports optimal operations. Who We're Looking For Individuals with over 10 years of diverse experience in operating security solutions are essential. Experience in directly leading a security team of three or more members to achieve team objectives is highly desirable. Knowledge of operational strategies for device and system security solutions aimed at ensuring safe electronic financial transactions is necessary. Deep understanding of the principles of security solutions, with the ability to set standards for operational policies and guide team discussions for optimal decision-making is required. Experience in automating repetitive tasks to enhance productivity and a proven track record of deep diving into problem-solving are sought after. Familiarity with various open-source tools and the ability to utilize AI in work processes are preferred. Experience in script development using Bash, Python, and API utilization for system integration is necessary. Resume Submission Guidelines We recommend submitting a resume in a free format along with a portfolio. Your application should highlight experiences and knowledge relevant to the role. Present specific contexts and outcomes rather than simply listing responsibilities, focusing on how you solved problems. Detail your leadership experiences, including team size, operational methods, personal contributions, and team achievements. Include any experience in establishing security strategies or improving systems that influenced the entire organization. It would be beneficial to attach examples that demonstrate your technical depth, such as architectures you have designed, problem-solving processes, or automation outcomes. Your Journey to Joining Toss Bank Application submission and...

Join Our Team!Toss Securities is rapidly growing under the mission of "Innovating every investment experience for our customers", boasting over 7.4 million registered users and 4 million active monthly users. We are currently leading in foreign stock transaction volumes. Our diverse range of investment products, including stocks, bonds, and options, expands our customers' choices. At the core of this growth is our robust and trustworthy data platform. Toss Securities is at a pivotal moment, needing to design a data architecture capable of handling large-scale real-time trading data, user behavior data, and regulatory compliance data.We are seeking a Head of Data Engineering to design and lead this structural transformation. This role is not just about operations; it is key to defining the data future of Toss Securities and enabling our organization to work data-driven.Your Responsibilities:Design and build an on-premise distributed architecture aligned with our mid-to-long-term business strategy, resolving data silos through Hadoop enhancements and transitioning to a Kafka-centered streaming-first approach.Construct and operate large-scale batch and streaming pipelines based on Spark/Flink and Kafka, ensuring reliable data processing through high-availability ETL/ELT design and performance optimization.Establish and manage data standards (layering, naming, permissions), quality management (DQ rules, SLA, lineage), and regulatory compliance frameworks based on metadata and personal information (PII).Coordinate data interests across services, risk, accounting, AI, and backend teams, establishing and executing a comprehensive data strategy including integration strategies and ownership definitions.Design the goals, structure, and processes of the data organization, leading a growing team through coaching and decision-making while addressing technical debt and fostering a trust-based environment.Oversee the design and operation of ML platforms and infrastructure for LLM/recommendation services, collaborating with service teams to build model deployment, operation, monitoring standards, and automated pipelines.Ideal Candidate:10+ years of experience in data engineering or platform architecture.Experience designing and operating large-scale clusters (Hadoop, Kafka).Proficiency in real-time streaming and batch data processing architecture design.Experience in building data governance, quality, and permission management systems.Leadership experience in engineering organizations (5-50 team members) is preferred.Excellent coordination and communication skills across diverse organizational stakeholders.Additional Preferred Qualifications:Experience with financial data in securities, banking, or fintech.Experience handling data within regulatory environments (e.g., PIPA, Financial Transaction Act).Experience in building semantic layers or data meshes.Experience with real-time transaction or advertising/shopping service data.Experience designing and operating large-scale model training, serving, and MLOps/LLMOps pipelines (e.g., Kubeflow, Argo, H100/H200 GPU clusters, vLLM/Triton).Experience with feature stores for real-time recommendations, model optimization, profiling (e.g., BentoML, ONNX, torchserve), and LLM fine-tuning/RAG operations.

Welcome to Your Journey with DaangnAt Daangn, we strive to create an environment where individuals can grow alongside the company as it expands.The Daangn recruitment team is here to assist you in reaching those moments of joyful reflection with wonderful colleagues. Introducing the Finance TeamThe FP&A team at Daangn plays a pivotal role in translating our domestic and international business growth into numbers. From establishing budgets across the organization to performance analysis, long-term forecasting, and competitor research, we shape the direction of our business through numerical insights. We are looking for a colleague who can deeply understand our business and data, and provide valuable insights for company-wide decision-making in our rapidly growing company.Your ResponsibilitiesCreate management plans for Daangn Market and its subsidiaries, estimating both short-term and long-term profitability.Prepare monthly profitability reports for Daangn Market and its subsidiaries, meticulously analyzing trends and variances against targets.Conduct reviews of the overall budget and propel the enhancement of internal processes and systems related to budgeting and payments.Analyze key performance indicators to derive meaningful insights connected to revenue.Monitor the performance status and consensus forecasts of domestic and international industry peers.Who We're Looking ForA candidate with 5-7 years of experience in management control functions.A proactive individual with experience leading management accounting and planning efforts.Someone skilled in analyzing issues through numbers and data to derive insights.A strong communicator capable of flexible collaboration with relevant departments.Experience or interest in IT services is a plus.Bonus Points If You HaveExperience in accounting or related expertise.Experience in planning and enhancing internal systems related to management control, budgeting, and accounting.Additional InformationRegular employment includes a 3-month probation period.According to the Act on the Promotion of Employment for Persons with Disabilities and the Act on the Honorable Treatment and Support of Veterans, we prioritize applicants from these groups in our hiring process.Application Process1. Document screening → 2. Video interview → 3. Job interview (assignment) → 4. Culture fit interview and reference check → 5. Offer negotiation → 6. Final acceptance and onboardingAccess the Daangn Joining Journey Guide () Daangn Application ProcessDocument ScreeningDaangn accepts freely formatted applications.Please feel free to utilize various information that highlights your strengths while crafting your resume.Document formats can be freely chosen, excluding hwp (Hangul) files, with options such as Word, PDF, or web links.If submitting through web links (Notion, Google Drive, etc.), please ensure access permissions are granted.Please exclude personal information such as photos and addresses that are not relevant to the evaluation.Video InterviewThis stage involves a video conversation with a Daangn team member closely related to your applied position, discussing essential job knowledge.Assignment StageDepending on the role, there may be an assignment stage. The assignment will relate to job competencies and may be separately administered or included in the video or job interview.

Key ResponsibilitiesSpearhead the design of AI system PCBs.Create and refine schematics while providing layout consultation for PCBs.Analyze and offer insights on PCB signal integrity and power integrity.Essential QualificationsBachelor's degree in Electrical or Electronics Engineering.5 to 10 years of relevant industry experience.In-depth knowledge of passive components, DC-DC converters, LDOs, NOR-flash, DDR, and logic gates.Proficient in Allegro software for PCB design.Strong understanding of PCB stack-up configurations.Experienced in using measurement equipment effectively.Preferred QualificationsSolid understanding and hands-on experience with various VRM topologies.Comprehensive knowledge of passive components.Extensive experience in power supply system design.Experience with PCB-level power integration.Familiarity with circuit simulation tools such as SIMPLIS, Allegro, and HSPICE.Knowledge of high-speed circuit design principles.Contact Informationrecruit@furiosa.ai

Join Our Dynamic Team!The Data Engineer for Workflow Platform is an integral member of Toss Bank's Data Division, specifically within the Data Platform team.This team comprises three key areas: Data Infrastructure & Hadoop, Streaming Platform, and Workflow Platform.We operate various Data Platforms, including Hadoop, Kafka, CDC, and Airflow.Our mission is to ensure the reliability and scalability of the enterprise data infrastructure, ensuring all data is securely collected and processed.Your Responsibilities:Design and operate a large-scale data workflow execution platform in an on-premise Kubernetes environment.Optimize resources to ensure the stable execution of large workflows across various data organizations, enhancing platform performance and reliability.Collaborate with enterprise data engineers to improve the execution quality of the overall data pipeline and enhance developer experience.Monitor workflow execution status, design and improve systems for automated fault detection, alerts, and recovery procedures.Safely manage workflow executions in accordance with internal control standards of the financial sector, advancing a systematic history management system.Continuously review and implement new technologies and open-source solutions to enhance the performance and scalability of the workflow platform.We Are Looking For:Experience operating an Airflow-based workflow orchestration system with proven improvements in stability, scalability, and execution efficiency.Background in developing Python-based data workflows and platform services.Understanding of container technologies (Docker, Kubernetes, etc.) and experience in automating service deployment and configuration using tools like Helm.Ability to understand company environments and communicate effectively with various teams during service development.A keen interest in improving operational efficiency and optimization in large-scale workflow environments.Desire to enhance platform user experience to facilitate easier and safer pipeline development and operations for in-house data engineers.A proactive approach to analyzing, modifying, and improving open-source solutions at the code level to solve issues.Resume Submission Tips:Clearly outline impactful projects you have worked on in your career.Focus on experiences related to data platforms, particularly with Airflow, Kubernetes, and Python.

Welcome to daangn Team JourneyAt daangn, we are committed to creating an environment where individuals can grow alongside the company's expansion.We, the daangn recruitment team, are here to assist you in having those moments of joyful contemplation with wonderful colleagues. Introducing the Data Analyst Roledaangn's vision is to foster a warm and active community by connecting neighbors. To achieve this vision, we continuously enhance our products through informed decision-making. As a Data Analyst, you will play a crucial role in improving the quality of these decisions through data analysis.The Data Analyst at daangn will uncover insights regarding user needs and product development directions by analyzing vast amounts of data generated from our products. By closely communicating with various teams, you will define data analysis tasks that address the problems we need to solve and convey the insights gained in an understandable manner to all team members. This process will guide our decision-making in the right direction, contributing to daangn's growth.Your ResponsibilitiesYou will belong to the Data Analyst Chapter while also being affiliated with specific business or organization teams.Define data analysis tasks necessary for product growth and user experience improvement, analyzing diverse data dimensions such as product, user behavior, marketing, and revenue to provide insights and strategies.Systematize and structure the company's goals and team objectives through measurable indicators, creating an accessible environment for all team members.Set indicators and hypotheses for goal achievement, proposing action items through A/B test design and interpretation.Structure and convey insights from analyses in an easily understandable manner for team members.Lead the team's data-driven decision-making culture.We Are Looking ForA candidate with experience in web/app data analysis and a proven track record of product improvement.A problem-solver who can define complex issues and think multidimensionally about various hypotheses.An individual with a solid understanding of mobile service data analysis methods (such as AARRR).Experience or knowledge in designing and executing A/B tests to drive product improvements.Proficiency in SQL (BigQuery), Python, and capable of efficiently querying and processing data.A communicator who can effectively convey data-driven decisions to team members.Preferred QualificationsExperience in utilizing data to propose strategies and achieve business impact.Hands-on experience in the entire data modeling process for analysis.A keen interest in marketing data analysis and marketing automation, familiar with tools like Appsflyer and Adjust.

Join Us and Engage in Exciting Work! After completing a comprehensive onboarding process to familiarize yourself with the Toss data environment, you will be part of the Data Warehouse Team, undertaking the following responsibilities: Develop a data quality platform that enhances table consistency, advances DQ rules, and establishes health check metrics. We aim to create a reliability management platform allowing all data users to work without questioning, 'Can I trust this data?'.Enhance the GraphRAG pipeline. Build a knowledge graph construction pipeline that extracts entities by parsing ontology YAML, SQL, and code, followed by vector embedding for indexing in Elasticsearch, making Toss's data assets easily navigable for everyone.Design and operate MSA architectures. Split necessary services for the ontology platform into microservices, ensuring each is designed, implemented, and operated reliably.Develop AI agent infrastructure. Create a multi-agent workflow execution environment based on open-source agent frameworks like CrewAI. Establish an MCP Tool Registry and develop integration infrastructure with external MCP servers.Build an early warning platform. Create a monitoring system that detects anomalies in data lineage, code, and trends, automatically performing alerts and analyses to identify issues before they escalate.Develop a lineage tracking engine. Create a system that automatically analyzes the extent of impacts by parsing SQL to extract column-wise influence relationships, determining how far changes propagate.

Who will you collaborate with?As a valued member of our team, reporting directly to the Sales Director, you will closely engage with the local sales and field service teams, as well as the project team at our Sisco facility. Your primary focus will be on brake systems, encompassing various responsibilities such as sales, business development, project management, and providing engineering support for Hyundai Rotem. How will you make an impact?In this role within the OE Sales team, you will spearhead project sales of brake systems to our clients. You'll coordinate with our Sisco to ensure product suitability for project specifications, address technical challenges with customers, and cultivate long-term relationships. A glimpse into your daily responsibilities:Manage all sales operations for the brake systems business;Lead local project initiatives, ensuring they align with our company's strategic goals;Identify and pursue business development opportunities to meet sales targets;Promote Faiveley Transport’s comprehensive engineering solutions, including services and products for the designated product line;Define engineering requirements based on customer needs and facilitate technical coordination with our HQ and SisCos in Europe;Assist local customers with the application of products within Brake Systems, Air Generation & Dryer, Actuator, and Pneumatic Valves;Address customer quality concerns and liaise with manufacturing sites to resolve issues;Collaborate with customers’ engineering, design, maintenance, project management, and procurement teams to explore new business avenues;Serve as the main point of contact between customers and our SisCo in Shanghai and Europe to ensure technical coordination;Maintain databases and support payment collection efforts;Regularly meet with customers to understand their needs and requirements;Some business travel may be necessary. Key Technical Responsibilities:Define the functions of brake systems at the train level and lead engineering studies to achieve performance targets;Prepare technical proposals and system documentation, including requirements specifications and schematics;Define and conduct commissioning tests for brake systems;Carry out functional and software verification testing;Conduct system-level Failure Modes Effects and Criticality Analysis (FMECA);Collaborate with the HQ engineering team on brake calculations;Support final assembly and verify designs through both static and dynamic tests. What we are looking for:A degree in Mechanical or Electrical Engineering or a related discipline;Strong communication skills and ability to work collaboratively in a team environment;Proven problem-solving abilities in a technical context.