Data Analyst Internship

Overview

This is an on-site data analyst internship in Melbourne, Victoria, Australia, designed to give practical exposure to live datasets, dashboard creation, and reporting for stakeholders. The role is hands-on and suited to someone who wants to build real-world analytics experience while working closely with experienced data professionals.

What you will do

• Collect information from multiple sources such as databases, spreadsheets, and APIs.
• Clean, standardize, and prepare data so it remains accurate and consistent.
• Spot missing, incorrect, or incomplete records and resolve them appropriately.
• Carry out basic statistical analysis to uncover patterns, trends, and insights.
• Help translate findings into practical recommendations for business decisions.
• Support senior analysts with deeper analytical work when needed.
• Build dashboards and reports using tools such as Excel, Power BI, or Tableau.
• Present results in a clear and visually effective format.
• Contribute to weekly and monthly performance reporting.
• Maintain databases and keep records up to date.
• Write simple SQL queries to retrieve and manipulate data.
• Work with different teams to understand data requirements.
• Use data insights to support process improvement and decision-making.
• Document data handling methods, analysis steps, and outcomes for future reference.
• Take part in training sessions and team meetings while continuing to learn modern data tools.
• Assist with basic predictive modeling, report automation through Python or Excel macros, and real-time monitoring tasks.

Skills and qualifications

• Working knowledge of SQL, Microsoft Excel, Power BI, Tableau, Python, and Pandas.
• Familiarity with Jupyter Notebook, Git, and Google Sheets is preferred.
• Enrollment in, or recent completion of, a degree in Data Science, Statistics, Computer Science, Economics, Commerce, or another quantitative field.
• Ability to work on-site in Australia and eligibility to work in the country for the internship period.
• Strong focus on data quality, attention to detail, and willingness to follow documentation standards.
• Interest in learning enterprise data processes and collaborating in a fast-moving environment.

Benefits and culture

• Guidance and mentorship from senior data professionals, with regular feedback and learning opportunities.
• Direct involvement with real recruitment datasets and exposure to business stakeholders.
• A collaborative, fast-paced on-site workplace focused on practical impact and skill development.
• This internship is paid.

Additional information

The role is based on-site in Melbourne, Victoria, Australia. It is an internship opportunity with part-time hours. The workplace expectation is in-person attendance throughout the internship period.