Junior Data Analyst

Role overview

This early-career position is focused on turning raw information into practical insights that help teams make better decisions. The Junior Data Analyst will work with organized datasets, assist with reporting and measurement, and gain hands-on exposure to analytical tools and methods while collaborating with colleagues across different functions.

Key responsibilities

• Gather data from different sources, then clean, check, and standardize it so it remains accurate and consistent.
• Help review datasets to spot trends, recurring patterns, and key performance signals.
• Build and update recurring and one-off reports, dashboards, and data summaries for internal teams.
• Support the creation of charts and visual outputs that make findings easier to understand and act on.
• Assist with database upkeep and keep data records and documentation well organized.
• Work alongside senior analysts to understand business needs and apply suitable analytical approaches.
• Take part in quality assurance checks and data governance activities.
• Contribute to automating repetitive data preparation and reporting activities wherever possible.
• Track important metrics and performance indicators to support ongoing monitoring.
• Suggest improvements to data analysis workflows, tools, and processes.

Qualifications and requirements

• A bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a closely related discipline.
• Foundational knowledge of data analysis, basic statistics, and how data structures work.
• Comfort using spreadsheets, databases, and visualization software.
• Beginning familiarity with query languages or analytical scripting is beneficial.
• Strong focus on accuracy and careful attention to detail.
• Good analytical thinking and problem-solving ability.
• Ability to explain findings clearly to both technical and non-technical audiences.
• Strong organization and the ability to balance several tasks at once.
• Interest in learning new tools, techniques, and analytical frameworks.
• Academic projects, internships, or personal data analysis work will be considered an added advantage.

Summary

This role is a strong starting point for someone looking to build a career in analytics. It offers practical experience in interpreting data, supporting operational and strategic decisions, and developing through collaboration and continuous learning.