Fortray Global Service Limited
Graduate Statistician
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Graduate Statistician
About the Role
Are you a recent Statistics graduate looking to launch your career in data analytics, business intelligence, research, or statistical modelling? We are seeking a motivated and analytical Graduate Statistician to join our growing team. This entry-level opportunity is ideal for graduates who enjoy working with data, identifying trends, and applying statistical techniques to solve real-world business problems.
No prior professional experience is required. Comprehensive training and mentorship will be provided to help you develop practical expertise in statistical analysis, predictive modelling, and data-driven decision-making.
Key Responsibilities
- Collect, clean, validate, and analyse datasets from multiple sources.
- Apply statistical methods to identify trends, patterns, and business insights.
- Assist in designing, conducting, and interpreting statistical studies.
- Support predictive modelling, forecasting, and data-driven decision-making.
- Perform exploratory data analysis and statistical reporting.
- Develop reports, dashboards, and data visualisations for stakeholders.
- Assist in creating analytical models to improve business performance.
- Ensure data accuracy, integrity, and quality across reporting systems.
- Collaborate with cross-functional teams on analytics and research projects.
- Document methodologies, assumptions, and analytical findings.
- Present statistical insights in a clear and understandable manner.
- Stay updated with emerging statistical techniques and analytical tools.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Qualifications
- Bachelor's degree in Statistics, Applied Statistics, Mathematics, Data Analytics, Economics, Data Science, or a related quantitative discipline.
- Recent graduate
- Strong understanding of statistical concepts and quantitative analysis.
- Excellent analytical and problem-solving skills.
- Good knowledge of probability, hypothesis testing, regression, and sampling techniques.
- Basic proficiency in Microsoft Excel.
- Strong numerical reasoning and attention to detail.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively.
- Passion for learning new analytical tools and technologies.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Skills
- Basic knowledge of SQL, Python, R, SPSS, SAS, or MATLAB.
- Familiarity with Power BI or Tableau.
- Understanding of statistical modelling and predictive analytics.
- Knowledge of database concepts and data visualization techniques.
- Academic projects involving statistical analysis, research, or machine learning are beneficial but not required.
What You'll Gain
- Structured graduate training and mentoring.
- Hands-on experience with real-world statistical and analytical projects.
- Exposure to predictive analytics, business intelligence, and research methodologies.
- Career progression opportunities in Statistics, Data Analytics, Data Science, Business Intelligence, Risk Analytics, Market Research, and Consulting.
- Collaborative and supportive work environment.
- Continuous learning and professional development opportunities.
Equal Opportunity Employer
We are an equal opportunity employer and welcome applications from graduates of all backgrounds. We are committed to creating an inclusive workplace where everyone has the opportunity to succeed.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location