Graduate Data Analyst, Entry Level

About the Role

We are looking for a motivated, analytical, and detail-oriented Graduate Data Analyst to join our team. This entry-level opportunity is ideal for graduates who enjoy working with data, identifying trends, solving business problems, and turning data into meaningful insights. No prior professional experience is required. Graduates will have the opportunity to develop practical skills through training, mentoring, and exposure to real-world data analytics projects.

Key Responsibilities

• Collect, clean, validate, and analyse data from different sources.
• Identify trends, patterns, and insights within datasets.
• Prepare reports and dashboards to support business decisions.
• Use SQL to extract and analyse data from databases.
• Create data visualisations to communicate findings clearly.
• Support KPI tracking and business performance reporting.
• Assist with forecasting, trend analysis, and data-driven decision-making.
• Perform data quality checks and investigate inconsistencies.
• Work with different teams to understand their data and reporting requirements.
• Document analysis, findings, and reporting processes.
• Assist in improving and automating recurring reports.
• Present analytical findings to technical and non-technical stakeholders.

Requirements & Tech Stack

• Bachelor's degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related discipline.
• Recent graduate or up to 1 year of experience.
• Basic understanding of data analysis and statistical concepts.
• Basic knowledge of SQL.
• Good working knowledge of Microsoft Excel.
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Good written and verbal communication skills.
• Ability to work independently and as part of a team.
• Willingness to learn new technologies and analytical tools.

Preferred Skills

• SQL
• Microsoft Excel
• Power BI
• Tableau
• Python or R
• Data visualisation
• Statistical analysis
• Data cleaning and preparation
• Dashboard development
• Basic knowledge of databases
• Basic understanding of ETL and data modelling
• Familiarity with cloud platforms such as Azure, AWS, or GCP is an advantage.

Academic projects, university assignments, internships, dissertations, GitHub projects, or personal data analytics projects are beneficial but not required.

What You'll Gain

• Practical experience working with real-world datasets.
• Training and mentorship from experienced professionals.
• Exposure to Data Analytics, Business Intelligence, Reporting, SQL, and Data Visualisation.
• Experience creating dashboards and analytical reports.
• Opportunities to develop technical and business-facing analytical skills.
• Career development opportunities across Data Analytics, Business Intelligence, Data Science, Reporting, and Data Engineering.

Ideal Candidate

• Has recently graduated in Data Analytics or a related quantitative field.
• Enjoys working with numbers, data, and technology.
• Has strong analytical and logical thinking skills.
• Is curious and enjoys finding answers through data.
• Can communicate insights clearly and effectively.
• Is organised, detail-oriented, and eager to learn.
• Wants to build a long-term career in Data Analytics and Business Intelligence.

Key Skills

Data Analytics | SQL | Microsoft Excel | Power BI | Tableau | Python | R | Data Visualisation | Statistical Analysis | Data Cleaning | Dashboard Development | Business Intelligence | KPI Reporting | Data Modelling | Problem Solving | Analytical Thinking | Communication | Critical Thinking