Junior Data Analyst

Role overview

This is a part-time remote opening for an entry-level Junior Data Analyst focused on public-sector work. The position is suitable for someone starting out in analytics and looking to apply data skills to projects that support public services.

What you will do

• Gather, clean, and structure datasets so they are ready for analysis.
• Perform basic analytical work and turn results into concise summaries.
• Create straightforward charts, tables, and visual materials that make findings easy to understand.
• Help build simple data models and support more advanced analysts when needed.
• Keep clear records of methods and steps so the work can be reproduced.
• Contribute to reports and presentations with data-driven insights.
• Explain findings to people without technical backgrounds in a clear and practical way.
• Keep learning new tools and approaches while working to improve data quality and processes.

Qualifications

• Strong analytical thinking and a solid base in data analysis are expected.
• Basic understanding of statistics and quantitative techniques is needed.
• Some initial exposure to data modeling and structured datasets is preferred.
• Good written and spoken communication skills are required for sharing results with varied audiences.
• Experience with spreadsheets and introductory use of analytics tools or languages such as Python, R, or SQL is helpful.
• You should be comfortable working on your own in a remote setup, organizing your time well, and collaborating with teams from different disciplines.
• Interest in public-sector issues and using data to improve public services is an added advantage.
• Training or education in data science, statistics, computer science, economics, or a similar field at the undergraduate level or equivalent is preferred.