Junior Data Analyst
@ Zurich Australia

North Sydney, New South Wales, Australia
A$70,000
On Site
Full Time
Posted 24 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXX******* @zurich.com.au
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Job Details

About the Role

Join Zurich Australia as a Junior Data Analyst where you turn data into decisions that matter. As a key member of Zurich’s Data Analytics Chapter, you will prepare, validate, and analyze data to uncover trends, risks, and opportunities. You will build dashboards and data products primarily using Power BI, SQL, and Python while working in agile squads alongside experienced analysts and business stakeholders.

Responsibilities

  • Prepare, validate and analyze datasets to uncover key insights.
  • Build and maintain dashboards and data products using Power BI, SQL and Python.
  • Assist in developing and testing statistical and predictive models.
  • Apply strong documentation and version control practices.
  • Collaborate in agile squads and communicate findings clearly.

Growth and Learning

This is a growth role where you develop your toolkit across SQL, Python, and Power BI. You will learn modern practices like version control and reproducible analytics, and receive mentorship in a supportive, transparent environment.

Benefits & Work Environment

Zurich Australia offers 5 weeks annual leave, hybrid working with 3 days in the office and 2 days remote, wellness payments, new starter vouchers, global mobility opportunities and a supportive, inclusive culture. Enjoy a workplace that values wellbeing, professional development, and community impact.

Key skills/competency

Data Analysis, SQL, Power BI, Python, Agile, Dashboarding, Visualization, Documentation, Statistical Modeling, Version Control

How to Get Hired at Zurich Australia

🎯 Tips for Getting Hired

  • Research Zurich Australia's culture: Understand their mission and digital transformation journey.
  • Customize your resume: Highlight SQL, Power BI, and Python skills.
  • Prepare for agile interviews: Showcase teamwork and analytical problem-solving.
  • Demonstrate transparency: Provide examples of reproducible analytics work.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries and data modeling.
Build dashboards using Power BI for practice.
Learn basic Python for data manipulation.
Familiarize with version control tools.

Behavioral Questions

Describe a time you solved a data problem.
Explain handling tight deadlines in agile teams.
Discuss collaborating with technical and non-technical colleagues.
Share an example of learning from feedback.

Frequently Asked Questions