求职招聘 悉尼

其它 | 2021-08-07 11:57:17

信息内容

工作性质: 全职

身份要求: 不限 学生签证

经验要求:不限

工作地点:悉尼 墨尔本 布里斯班 堪培拉

详细描述

工作地点: 悉尼 墨尔本 布里斯班 堪培拉

薪资待遇: $

联系电话:

招聘人数: 人

Local西人跨国数据驱动公司招聘 Data Science和Data Analyst实习生Local西人跨国数据驱动公司招聘 Data Science实习生                                                                                                                                                                                                [size=12.000000pt]Our client is a medium size new education technology company with thebusiness all over the world.

                                                [size=12.000000pt]Working place: Surry Hills (Currently work from home)Employee 50-70

[size=12.000000pt]Melbourne city center

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Opening up a Data Science Internship position which will require applicants to have more ML experience.



Data Analyst Intern- Product and Marketing



You’ll be looking at a range of data – leveraging your strong Python, SQL querying skills, where you’ll create useful dashboards through Metabase (or other tools), assisting teams in creating self-service reports.

You’ll be given opportunities to find trends and comparisons, segment customer data, perform campaign analysis, perform churn analysis, contribute to product decisions and campaign strategies through insights and building out frameworks/processes for key decision making.



It’s a collaborative environment but this role requires a self-starter that will own what needs to be done each day– pushing the limits and coming up with ideas.



Requirements

1 Better to have experience in Data Analytics for a product or marketing team, particularly in an organisation that has a SaaS business model

2 Degree qualified in a relevant field

3 Python and SQL querying or proficiency in another data programming language (R, etc.)

4 Proficiency in one or more analytics & visualization tools (e.g. Tableau, Metabase)

5 Experience with CRM systems such as Salesforce or Pipedrive.

6 Advanced Excel



Nice to have

1 Background in marketing or products

2 A good handle on data warehouses and their architecture (Snowflake, Redshift)

3 Experience with event-based data collection platforms (Google Analytics, Snowplow)

4 Software programming in Python, R

5 Experience working in a global environment with remote teams







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