- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 3小时前
- Work mode
- 杂交种
- 学历
- Data Science, Statistics, Economics, Computer Science, Engineering, or related field
- Eligibility
- Applicants should be current students or graduates in a relevant tertiary field such as Data Science, Statistics, Economics, Computer Science, Engineering, or a similar discipline, and should be comfortable in a hybrid working setup.
- Resume
- Required to apply
Where you'll work
职位描述
Role overview
This part-time junior Data Analyst position is based in Sydney, New South Wales, and follows a hybrid setup with a combination of office-based and work-from-home days.
What you will do
In this role, you will help guide investment and operational decisions by gathering, cleaning, and structuring data from both internal systems and outside sources. You will contribute to the upkeep of simple dashboards and reports, carry out exploratory analysis, and support the development of data models used for portfolio and market understanding.
You will also prepare clear summaries and visual materials so that insights can be shared effectively with colleagues who may have different levels of technical knowledge. A key part of the job is working closely with the investment, product, and operations teams to make sure the information being used is accurate, timely, and useful.
Qualifications
The ideal candidate should bring strong analytical ability and a solid foundation in data analysis, with the confidence to interpret information, spot patterns, and help inform decisions. Basic knowledge of statistics and data modeling is important for building simple models, checking assumptions, and performing quantitative analysis.
Good communication skills are essential, especially the ability to explain findings clearly to both technical and non-technical audiences. Familiarity through study or experience with tools such as Excel, Google Sheets, SQL, or a scripting language like Python or R will be highly advantageous.
Exposure to data visualization tools such as Tableau, Power BI, or similar platforms is also helpful. An interest in venture capital, startups, or AI-focused businesses is considered a plus. Candidates should be studying or have completed tertiary education in Data Science, Statistics, Economics, Computer Science, Engineering, or a closely related discipline.
Because the role is collaborative and hybrid, you should be comfortable working with different teams, managing your time well, handling several tasks at once, and maintaining strong attention to detail.
Additional information
This opportunity is part-time and suited to an entry or junior-level candidate. No stipend or salary amount was provided in the source information.