Duties and Responsibilities: ・Design, configure, operate, and maintain Data Governance and Data Quality tools (Collibra and IDQ) to align with the Data Governance framework requirements as set out in the company’s approved Policy and supporting Standards. ・Develop detailed process and guidelines that are essential to on-board Lines of Businesses to use the Data Governance and Data Quality tools effectively for managing their critical data. ・Setup monitoring process, tools and guidelines to enable consistent and effective monitoring of Lines of Businesses’ compliance with the requirements as set out in the Data Governance framework. ・Support in continuous enhancements of Data Governance framework, templates, documents, and other artifacts as required by management to create a framework that is practical, scalable, and of value-add to the company from critical data management perspective.
Data Governance effectiveness monitoring ・Develop Lines of Businesses’ capabilities in understanding the purpose and know-how to manage their critical data in accordance with the Data Governance framework, including utilization of the guidelines, tools, and templates prescribed by the Data Governance Team. ・Support in execution of Data Governance implementation activities in accordance with project plans and in collaboration with Lines of Businesses (including IT). ・Monitor and report on execution progress, and support Lines of Businesses’ Data Governance implementation in accordance with the Data Governance framework requirements. ・Where external resources are used, oversight and manage vendors to guide and track Data Governance implementation activities in accordance with project plans.
Others ・Identify, evaluate, and promote opportunities for Data Governance compliance and enhancement. ・Timely report of status, progress, and matters that warrant escalation to the responsible oversight personnel / body within the company. ・Perform other duties as assigned.
【Senior Data Scientist (+5 years experience)】 Senior Manager
●Role Description - Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing - Works with clients / stakeholders to design, deliver insights and develop solutions using multiple sources of structured, semi-structured and unstructured data - Acts as an intermediary between the business / client community and the technical community - Presents complex solutions and options in a simplified manner for clients / business
●Responsibilities - Leads the delivery of large projects and data science insights using a range of tools and methods and serves as a best practice resource for team members - Builds internal relationships with key stakeholders across the business as well as externally with the client and technical community - Ensures robust governance around data ethics and use of data within data science models, setting policies and procedures - Develops new data sources internally and externally and identifies large projects and opportunities through close collaboration with the business, client and technical community
【Data Scientist (+3 years experience)】 Senior Consultant/ Manager
●Role Description - Develops and reviews complex data analytics models, algorithms, systems and solutions, using advanced and specialist data science, programming and analytical techniques - Delivers complex predictive models and identifies new projects, opportunities and data sources which can be used to drive measurable client and commercial benefit - Provides insights and recommendations from different data sources to senior team members to help make decisions that drive better business outcomes for clients
●Responsibilities - Works closely with senior team members to scope, identify and establish appropriate data analysis methodologies for projects - Seeks new data sources internally and externally that enable leading edge data science solutions - Develops complex statistical modelling tools that drive business outcomes for clients, involving complex algorithms, artificial intelligence methods, machine learning, deep learning and advanced statistics - Confidently uses visual tools to communicate data insights and links data to business outcomes.
Data Strategyチームのミッションは、データを使ってプロダクトを成長させ、事業を推進させることです。中長期的には、プロダクトだけでなく経営戦略、事業戦略など会社全体でデータを使った意思決定ができるようにすることを目指しています。 EC事業が保有する、ショップオーナー・購入者・社内メンバーの3者からなる膨大なビッグデータを活用し、ショップオーナーと購入者、当社という会社に対して機械学習を使ってよりよい意思決定ができるようサポートしていきます。