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Data Analyst (Entry / Junior)

Delegação da União Europeia em Angola - Delegation of the European Union in Angola

Sydney, New South Wales, Australia · Неполная занятость

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Опыт
Любой
Зарплата
Открытия
1
Опубликовано
3 часа назад
Режим работы
В офисе
Образование
Diploma or Bachelor's degree
Критерии отбора
Early-career candidates interested in data analytics and comfortable working onsite in Australia. Applicants with academic projects, internships, or previous experience in data analysis are welcome.
Резюме
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Где вы будете работать

Описание работы

About the opportunity

An organization in Australia is seeking an early-career Data Analyst to support decision-making through careful data collection, analysis, and reporting. This role suits someone who is detail-focused, eager to learn, and interested in growing practical experience in analytics.

What you'll do

  • Gather information from multiple sources, then tidy, structure, and prepare it for analysis.
  • Examine datasets to uncover trends, patterns, and actionable business findings.
  • Build reports, dashboards, and visual summaries using analytics tools.
  • Help preserve data accuracy and overall data quality.
  • Provide data-backed recommendations to support business teams.
  • Work with colleagues on analytics initiatives and improvements to processes.
  • Record analysis approaches and outcomes in a clear, organized way.

What we're looking for

  • Strong analytical thinking and problem-solving ability.
  • Foundational understanding of data analysis concepts and basic statistics.
  • Exposure to Microsoft Excel and visualization tools such as Power BI or Tableau is an advantage.
  • Introductory knowledge of SQL or Python is helpful.
  • Good communication skills and a sharp eye for detail.
  • Ability to work alone when needed and also contribute well in a team.
  • Motivation to learn and develop a career in data analytics.

Qualifications

  • A diploma or bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, or a similar discipline is preferred.
  • Past internship work, academic projects, or prior data analysis experience would be an added advantage.
  • Comfort with SQL, Excel, Power BI, Tableau, or Python is beneficial.

Working arrangement

The position can be arranged as full-time or part-time, and the role is based onsite in Australia.

How to apply

Applicants should submit a CV. It is also welcome to share examples of analytics projects, dashboards, technical capabilities, or relevant coursework.

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