Junior Data Analyst

Role overview

This position is for an entry-level data analyst who will help turn raw information into useful insights for everyday business decisions. The work centers on collecting, checking, organizing, and interpreting data so teams can monitor performance, understand trends, and support strategic planning.

You will work with data drawn from different sources and help prepare it for analysis. The role includes cleaning datasets, checking for accuracy, spotting basic patterns, and supporting senior analysts or other teams with regular reporting tasks.

Key duties

• Gather data from multiple sources and prepare it for use
• Clean, structure, and maintain datasets
• Run simple analyses to identify trends, patterns, and notable changes
• Check data for completeness, accuracy, and consistency
• Keep datasets and supporting documentation up to date
• Help build reports, dashboards, and summary outputs
• Handle routine analytics requests and other ad hoc tasks
• Work with cross-functional teams to understand reporting needs
• Record methods, assumptions, and source details clearly
• Assist with performance monitoring and operational reporting
• Follow established data-quality and governance practices

What success in this role looks like

The ideal candidate is detail-oriented, organized, and comfortable working with structured data. A logical approach to problem-solving and a willingness to learn are important, along with the ability to communicate findings clearly to both technical and non-technical audiences.

This role offers hands-on exposure to business metrics, reporting workflows, and everyday analytics processes, making it a strong fit for someone building foundational data analysis experience.

Qualifications

You should be able to work with spreadsheets and basic analysis tools, understand core data-analysis concepts, and produce clear written summaries. Strong communication skills, the ability to juggle several tasks, and a commitment to accurate work are also important.

A background in Data Analytics, Statistics, Business, Economics, Information Systems, or a similar field is preferred.