Data Analyst Intern 招聘1人
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公司名称
ASIA-PACIFIC INTERNATIONAL GROUP
工作性质
实习
经验要求
不限
学历要求
Bachelor
签证要求
不限
性别要求
不限
工资水平
面议
工作亮点
团队友善,成长空间,英文环境
公司简介
Asia Pacific International Group was founded in London in 2011 (previously known as Future Creator Global). We focus on exploring the growth areas of asia-pacific economy.
Asia Pacific Services include Internet Marketing, immigration agency, students career consulting agency, and Australia property development & investment.
Asia Pacific Trade includes cultural innovative products, technological products, and international trade of health products.
工作介绍
🏢公司类型:Data咨询公司
🧔🏻 Supvisor有丰富的顶级Data咨询公司行业经验。要求candidate有扎实的领域知识和优秀的沟通能力(面对客户的岗位)
Typical Responsibilities:● Advise on data analysis and visualisation approaches and strategies.
● Implement solutions for the establishment of data analysis capabilities including data access, data wrangling and transformation and data analysis and visualisation.
● Deliver a data analysis over a diverse range of data sources and formats, including structured, multi-structured and unstructured.
● Guide the interpretation and communication of results of data analysis, making recommendations to stakeholders of varying levels of data literacy.
● Collaborate with system owners, data providers, analysts, managers and various other stakeholders to data projects.
● Manage your time, the team, the stakeholders and the engagement, to deliver the data management capability.
● Support pre-sales activity to promote the brand, our capabilities and value to current and prospective clients.
Capabilities & Experience:
● Strong analytical thinker and problem solver with thought leadership and commercial awareness.
● Strong knowledge of SQL, P/SQL, databases, integration, master data management, quality assurance, data wrangling and data governance technologies.
● Sound understanding of data structures, data modeling and data optimisation techniques.
● Ability to analyse large, complex datasets from diverse sources, structures and formats.
● Ability to articulate highly technical concepts and insights, in a way that can be understood by stakeholders of varying degrees of technical literacy.
● Collaboration skills and understanding of business challenges & drivers.
● Knowledge of Cloud environments are desirable, including Google, AWS and Azure.
● Awareness of AI and ML technologies and principles are desirable.
🧔🏻 Supvisor有丰富的顶级Data咨询公司行业经验。要求candidate有扎实的领域知识和优秀的沟通能力(面对客户的岗位)
Typical Responsibilities:● Advise on data analysis and visualisation approaches and strategies.
● Implement solutions for the establishment of data analysis capabilities including data access, data wrangling and transformation and data analysis and visualisation.
● Deliver a data analysis over a diverse range of data sources and formats, including structured, multi-structured and unstructured.
● Guide the interpretation and communication of results of data analysis, making recommendations to stakeholders of varying levels of data literacy.
● Collaborate with system owners, data providers, analysts, managers and various other stakeholders to data projects.
● Manage your time, the team, the stakeholders and the engagement, to deliver the data management capability.
● Support pre-sales activity to promote the brand, our capabilities and value to current and prospective clients.
Capabilities & Experience:
● Strong analytical thinker and problem solver with thought leadership and commercial awareness.
● Strong knowledge of SQL, P/SQL, databases, integration, master data management, quality assurance, data wrangling and data governance technologies.
● Sound understanding of data structures, data modeling and data optimisation techniques.
● Ability to analyse large, complex datasets from diverse sources, structures and formats.
● Ability to articulate highly technical concepts and insights, in a way that can be understood by stakeholders of varying degrees of technical literacy.
● Collaboration skills and understanding of business challenges & drivers.
● Knowledge of Cloud environments are desirable, including Google, AWS and Azure.
● Awareness of AI and ML technologies and principles are desirable.
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