求职招聘 墨尔本

网管|IT工程师 | 2021-08-07 10:47:59

信息内容

工作性质: 全职

身份要求: 工作签证 永居签证 澳洲国籍

经验要求:不限

工作地点:墨尔本 悉尼

详细描述

工作地点: 墨尔本 悉尼

薪资待遇: $

联系电话:

招聘人数: 1人

知名数据公司招聘Data Analyst全职Graduate薪资5到7万澳币客户顶级水平知名数据咨询公司招聘Data Analyst全职Graduate薪资5到7万澳币Supervisor顶级水平



全职Data Analyst如果candidate优秀,毕业生level可到年薪6-7万,

要求Python,SQL熟练,对行业有一定理解(可培训),英文沟通熟练





独家合作,supervisor是数据咨询行业大牛,曾在Tier one 顶级公司工作,客户为澳洲大型上市公司



公司在悉尼和墨尔本有分公司,两地均可申请。

485工作签证可申请,即将毕业的在校学生也可申请。

要求善于表达,英文沟通出色,情商高,data基础扎实。其他可培训提高。机会难得[太阳]🔥🔥

公司有完善的Data专业技术培训体系



Typical Responsibilities:

● Advise on data analysis and visualization 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.

Our business focuses on Data and Automation in the following pillars:





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.

●good to have Knowledge of Cloud environments are desirable, including Google, AWS and Azure.

● good to have Awareness of AI and ML technologies and principles are desirable.

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