서울 중구 회현동2가 6-11리치몬트코리아
㈜리치몬트코리아는 Cartier, Alfred dunhill, Montblanc, Vacheron Constantin, IWC, Jaeger-LeCoultre, Van Cleef & Arpels, Piaget, A. Lange & Sohne, Roger Dubuis, Chloé 등의 브랜드를 소유한 세계적인 Luxury Group인 Richemont의 한국 법인이며, 1000여명의 정규직 직원으로 구성되어 있습니다.
리치몬트코리아는 여성가족부에서 주관하는 “가족친화기업” 인증에 참여하여 여러 단계의 심사를 통해 “가족친화인증 우수기업”으로 선정되었습니다.
리치몬트코리아는 여성가족부에서 주관하는 “가족친화기업” 인증에 참여하여 여러 단계의 심사를 통해 “가족친화인증 우수기업”으로 선정되었습니다.
지원분야
모집부문
[Cartier] Data Analyst data analyst
[Cartier] Data Analyst data analyst
업무내용
Qualifications:
Minimum of 2+ years of experience in data visualization and business intelligence reporting systems is required. Strong understanding and ability to transform and integrate existing data sets. Hands-on experience building visually appealing dashboard and reports.
Strong Expertise in Power BI is mandatory,
Looker & Look ML/SQL(upcoming implementation), Python is a strong plus.
Global company exposure with retail, luxury, marketing, retail, finance or IT experience is preferred.
Required experience:
Experience with data organization and architecture - leveraging and working with large data sets, unstructured and structured data.
Strong experience in business acumen with ability to understand and work across multiple disciplines and levels.
Ability to read, interpret and validate data from multiple sources, ability to map and model, visualize, transform and provide data in a structured, easy and organized way to end-user.
Experience with various data loading methods including data normalization and other data querying practices is required.
Experience troubleshooting and researching advanced DAX expressions to solve complex needs is required.
Strong knowledge and understanding of data management, data related tools & applications, new innovative data solutions and best practices is require
Technical skills / abilities:
Prior experience with data architecture, infrastructure and governance, dashboard visualization, development and management, knowledge and understanding of data methodologies.
Strong expertise in advanced Power BI suite & DAX is mandatory.
Knowledge and practical experience in business intelligence and data visualization systems (ex. SACs, Looker, Tableau, SAP, Salesforce etc.), propensity, segmentation and clustering modeling and predictive & prescriptive applications is preferred.
Experience with Look ML, SQL, query writing, R and or Python programming languages is a plus.
Ability to learn and apply best in class data platforms and applications.
Keeps up with latest data visualization tools and techniques, shares emerging trends and best practices.
Fluent in Korean and English
Qualifications:
Minimum of 2+ years of experience in data visualization and business intelligence reporting systems is required. Strong understanding and ability to transform and integrate existing data sets. Hands-on experience building visually appealing dashboard and reports.
Strong Expertise in Power BI is mandatory,
Looker & Look ML/SQL(upcoming implementation), Python is a strong plus.
Global company exposure with retail, luxury, marketing, retail, finance or IT experience is preferred.
Required experience:
Experience with data organization and architecture - leveraging and working with large data sets, unstructured and structured data.
Strong experience in business acumen with ability to understand and work across multiple disciplines and levels.
Ability to read, interpret and validate data from multiple sources, ability to map and model, visualize, transform and provide data in a structured, easy and organized way to end-user.
Experience with various data loading methods including data normalization and other data querying practices is required.
Experience troubleshooting and researching advanced DAX expressions to solve complex needs is required.
Strong knowledge and understanding of data management, data related tools & applications, new innovative data solutions and best practices is require
Technical skills / abilities:
Prior experience with data architecture, infrastructure and governance, dashboard visualization, development and management, knowledge and understanding of data methodologies.
Strong expertise in advanced Power BI suite & DAX is mandatory.
Knowledge and practical experience in business intelligence and data visualization systems (ex. SACs, Looker, Tableau, SAP, Salesforce etc.), propensity, segmentation and clustering modeling and predictive & prescriptive applications is preferred.
Experience with Look ML, SQL, query writing, R and or Python programming languages is a plus.
Ability to learn and apply best in class data platforms and applications.
Keeps up with latest data visualization tools and techniques, shares emerging trends and best practices.
Fluent in Korean and English
고용형태
인턴
인턴
수습기간
6개월
6개월
모집인원
0명
0명
지원 자격
직무관련
Key responsibility 1:
Support Dashboard and Reporting Buildouts
Switch between Power BI(DAX), Excel (Power pivot) or Looker depending on the needs.
Build, optimize, deliver and support new and existing reports and data visualization dashboards based on requirements from functional expert/business owners.
Understand complex business requirements and opportunities to recommend and build dashboard solutions based on needs, data governance and architecture. Identify areas to increase efficiency and automation of processes.
Extract and compile various sources of information and large data sets from various systems, queries and tables. Understands and applies data methodologies.
Responsible for converting and framing business requirements into mock-ups, obtaining end-user sign-off for production development.
Tracks, monitors, evaluates and optimizes reporting and dashboards based on feedback from end-users.
Responsible for influencing dashboard and reporting iterations and version controls of deliverables.
Liaise with HQ to locally implement Looker and prepare the roadmap of reportings transitions
Key responsibility 2:
Support Data Organization, Architecture and Structured Usage
Executes activities to ensure that all backend data sets, flows, modeling and sources are accurately mapped, quantified and maintained.
Maintains data integrity- proactive in understanding and probing into technical details and data irregularities. Raises any issues or concerns to Data Solutions Manager for further investigation and escalation.
Conducts routines to cleanse and prepare data for reporting. Provides data to local teams in a structured, clean and organized way for usage.
Partner with Manager on development plan for data quality improvements and best practice sharing
Produce clear documentation defining the architecture of the model
Key responsibility 3:
Support Group Data Governance
Support data governance application to all data across company in compliance with HQ/Richemont
This is including but limited to the implementation of Row level security and management of external user access documentation.
Key responsibility 4:
Support of Data Topics Knowledge & Activations
Support development, updating & maintenance of relevant training materials, modules and knowledge base.
Provide live demonstrations, end-user training, clear documentation, support adoption and application assistance.
Support and upskill Key User testing. Make sure our tools are fully used by the users. Encourage and collect feedback from end-users on deliverables, testing and future needs.
Solid understanding of competitive innovation & data topics (trends, new tools, other transversal data projects and best practices etc.) to influence future implementations and support further growth.
Key responsibility 1:
Support Dashboard and Reporting Buildouts
Switch between Power BI(DAX), Excel (Power pivot) or Looker depending on the needs.
Build, optimize, deliver and support new and existing reports and data visualization dashboards based on requirements from functional expert/business owners.
Understand complex business requirements and opportunities to recommend and build dashboard solutions based on needs, data governance and architecture. Identify areas to increase efficiency and automation of processes.
Extract and compile various sources of information and large data sets from various systems, queries and tables. Understands and applies data methodologies.
Responsible for converting and framing business requirements into mock-ups, obtaining end-user sign-off for production development.
Tracks, monitors, evaluates and optimizes reporting and dashboards based on feedback from end-users.
Responsible for influencing dashboard and reporting iterations and version controls of deliverables.
Liaise with HQ to locally implement Looker and prepare the roadmap of reportings transitions
Key responsibility 2:
Support Data Organization, Architecture and Structured Usage
Executes activities to ensure that all backend data sets, flows, modeling and sources are accurately mapped, quantified and maintained.
Maintains data integrity- proactive in understanding and probing into technical details and data irregularities. Raises any issues or concerns to Data Solutions Manager for further investigation and escalation.
Conducts routines to cleanse and prepare data for reporting. Provides data to local teams in a structured, clean and organized way for usage.
Partner with Manager on development plan for data quality improvements and best practice sharing
Produce clear documentation defining the architecture of the model
Key responsibility 3:
Support Group Data Governance
Support data governance application to all data across company in compliance with HQ/Richemont
This is including but limited to the implementation of Row level security and management of external user access documentation.
Key responsibility 4:
Support of Data Topics Knowledge & Activations
Support development, updating & maintenance of relevant training materials, modules and knowledge base.
Provide live demonstrations, end-user training, clear documentation, support adoption and application assistance.
Support and upskill Key User testing. Make sure our tools are fully used by the users. Encourage and collect feedback from end-users on deliverables, testing and future needs.
Solid understanding of competitive innovation & data topics (trends, new tools, other transversal data projects and best practices etc.) to influence future implementations and support further growth.
지원서접수
지원방법
gina.park@richemont.com 으로 영문 이력서 송부
gina.park@richemont.com 으로 영문 이력서 송부
접수기간
06월 23일 16:46 ~ 08월 28일 16:46
06월 23일 16:46 ~ 08월 28일 16:46
문의처
02-3440-5500 Gina.park@richemont.com
02-3440-5500 Gina.park@richemont.com
* 마감일은 기업의 사정으로 인해 조기 마감 또는 변경될 수 있습니다
