Entry-Level Data Analyst

Role Overview

This part-time Data Analyst position, located in Melbourne, VIC, offers a hybrid work environment combining onsite presence with flexible work-from-home days. The primary focus is on gathering, cleansing, and organizing operational and logistics data from various sources to enhance reporting and performance measurement.

Key Responsibilities

• Create and maintain basic dashboards to visualize data effectively.
• Generate periodic summaries of data to support monitoring efforts.
• Assist with data modeling activities aimed at improving forecasting accuracy and optimizing logistics resources.
• Conduct exploratory data analysis to detect patterns, trends, and operational inefficiencies.
• Prepare clear documentation of findings and present actionable insights to internal teams.
• Collaborate closely with operations, finance, and management departments to ensure integrity and usefulness of data.

Candidate Profile & Qualifications

• Strong analytical thinking combined with fundamental data analytics competencies to interpret business and operational datasets.
• Foundational knowledge of statistics to support quantitative assessment and performance tracking.
• Basic experience or understanding of data modeling techniques for forecasting and logistics optimization.
• Effective communication skills essential for sharing insights and working across different teams.
• Familiarity with spreadsheet software such as Excel or Google Sheets; experience with data visualization or BI tools is a plus.
• Preferred candidates will have completed or be pursuing a degree in Data Science, Statistics, Mathematics, Business, or related disciplines.
• Ability to work independently while managing time efficiently in a part-time schedule, with strong attention to detail in handling data tasks.