Data Analyst

About the Role

We are seeking a highly analytical and detail-oriented Graduate Statistician / Data Analyst to join our growing analytics team. This entry-level role is ideal for graduates who enjoy working with data, performing statistical analysis, building predictive models, and helping organisations make evidence-based decisions.

Key Responsibilities

• Collect, clean, validate, and analyse data from multiple business sources.
• Perform statistical analysis to identify trends, patterns, and actionable insights.
• Develop reports, dashboards, and data visualisations to support business decisions.
• Write SQL queries to extract, manipulate, and analyse data.
• Assist in forecasting, predictive modelling, and trend analysis.
• Apply statistical techniques to solve business and operational problems.
• Support data quality, governance, and validation activities.
• Present analytical findings to technical and non-technical stakeholders.
• Document methodologies, assumptions, and statistical findings.
• Collaborate with cross-functional teams on analytics and reporting projects.
• Assist in automating reporting and analytical processes.
• Stay updated with the latest statistical methods and analytics technologies.

Requirements & Tech Stack

• Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Operations Research, Economics, Computer Science, or a related quantitative discipline.
• Recent graduate or up to 1 year of experience.
• Strong knowledge of statistics, probability, and quantitative analysis.
• Excellent analytical and problem-solving skills.
• Basic knowledge of SQL and relational databases.
• Proficiency in Microsoft Excel.
• Strong attention to detail and logical reasoning.
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively.
• Passion for data-driven decision-making and continuous learning.

What You'll Gain

• Structured graduate training and mentoring.
• Hands-on experience with real-world data and business analytics projects.
• Exposure to statistical modelling, business intelligence, predictive analytics, and data visualisation.
• Career progression opportunities in Data Analytics, Business Intelligence, Data Science, Risk Analytics, Market Research, Financial Analytics, Operations Analytics, and Decision Science.
• Collaborative and supportive work environment.
• Continuous learning, certification support, and professional development opportunities.

Ideal Candidate

• Has recently completed a degree in Statistics or a related quantitative discipline.
• Enjoys solving business problems using data and statistical methods.
• Has strong mathematical, analytical, and critical thinking skills.
• Pays close attention to detail and accuracy.
• Is curious, proactive, and eager to learn new technologies.
• Wants to build a long-term career in analytics, statistics, or data science.