Graduate Statistician (Entry-Level)

About the Role

We are seeking a highly analytical and detail-oriented Graduate Statistician to join our team. This is an excellent opportunity for recent graduates who are passionate about statistics, data analysis, and evidence-based decision-making. As a Graduate Statistician, you will work alongside experienced analysts and data professionals to collect, analyse, and interpret data, helping drive business insights and support strategic decisions. No prior professional experience is required—just strong analytical skills and a willingness to learn.

Key Responsibilities

• Collect, clean, validate, and analyse datasets from various sources.
• Perform statistical analyses to identify trends, patterns, and insights.
• Develop reports, dashboards, and data visualisations to communicate findings.
• Assist in designing surveys, experiments, and data collection methodologies.
• Support forecasting, predictive modelling, and business intelligence initiatives.
• Interpret statistical results and present recommendations to stakeholders.
• Ensure data accuracy, integrity, and compliance with data governance standards.
• Collaborate with cross-functional teams on data-driven projects.
• Document methodologies, analyses, and project outcomes.
• Continuously improve analytical processes and reporting techniques.

Requirements & Tech Stack

• Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative discipline.
• Strong understanding of statistical methods, probability, and data analysis techniques.
• Knowledge of statistical concepts such as regression, hypothesis testing, sampling, and descriptive statistics.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Basic knowledge of statistical tools such as R, Python, SPSS, SAS, SQL, or MATLAB is an advantage.

Qualifications

• Strong analytical, numerical, and problem-solving skills.
• Excellent attention to detail and organisational abilities.
• Good written and verbal communication skills.
• Ability to work independently and collaboratively within a team.

Preferred Skills (Nice to Have)

• Internship, academic projects, or research involving statistical analysis.
• Experience with data visualisation tools such as Power BI, Tableau, or Looker Studio.
• Familiarity with SQL databases and data querying.
• Knowledge of machine learning fundamentals and predictive analytics.
• GitHub portfolio, research publications, or participation in analytics competitions (e.g., Kaggle) is an advantage.

What You'll Gain

• Structured training and mentorship from experienced statisticians and data professionals.
• Hands-on experience analysing real-world datasets and solving business problems.
• Exposure to statistical software, business intelligence tools, and modern analytics techniques.
• Continuous learning and professional development opportunities.
• Career progression into roles such as Data Analyst, Business Analyst, Statistician, Data Scientist, Quantitative Analyst, or Research Analyst based on performance.

Employment Details

• Seniority Level: Entry Level
• Employment Type: Full-Time
• Job Function: Statistics, Data Analysis, Business Intelligence, Research