Project Data Analyst (Entry / Junior Level)

About

A Project Data Analyst at the entry or junior level supports project teams by collecting, organizing, analyzing, and interpreting data to ensure informed decision-making throughout the project lifecycle. This role focuses on transforming raw data into meaningful insights that help track progress, evaluate performance, and improve project outcomes.

This role is ideal for individuals who are detail-oriented, analytical, and eager to support projects through data-driven insights and structured reporting.

Responsibilities

• Gathering data from multiple sources
• Maintaining data accuracy
• Preparing structured reports and dashboards for stakeholders
• Assisting in monitoring key project metrics
• Identifying trends
• Highlighting potential risks or inefficiencies
• Contributing to data validation, documentation, and the continuous improvement of reporting processes

Qualifications

• Strong analytical thinking
• Structured approach to problem-solving
• Comfortable working with datasets
• Ability to identify patterns
• Ability to present findings in a clear and concise manner
• Solid understanding of basic data concepts, such as data cleaning, aggregation, and visualization
• Proficiency in tools such as spreadsheets and introductory data visualization platforms
• Foundational understanding of databases or query languages being an added advantage
• Attention to detail is critical, as accuracy and consistency in data handling directly impact project decisions.
• Strong communication skills are necessary for translating analytical findings into understandable insights for both technical and non-technical stakeholders.
• Organizational skills and the ability to manage multiple tasks help ensure timely delivery of project-related outputs.
• A proactive learning mindset, curiosity, and adaptability are highly valued, especially in environments where project requirements may evolve.
• The ability to collaborate effectively within a team while maintaining focus on data integrity and analytical quality is essential.