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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