Graduate Data Analyst - (Decision Analytics)

We're looking for exceptional graduates with strong academic backgrounds in Mathematics, Statistics, Operational Research, or Economics. Any prior commercial experience - such as a placement year or post-university analytical role - will be highly valued. What you'll be doing

• Apply mathematical and statistical techniques to support business decision-making, forecast performance, and quantify uncertainty.
• Use data analysis and data mining to understand customer behaviour, revenue performance, and identify new commercial opportunities.
• Specify, implement, and maintain datasets to support statistical and probability-based model development.
• Carry out detailed, well-documented analysis to support model development and generate actionable insights.
• Contribute to scenario and probability modelling to assess risk, opportunity, and gross margin outcomes.
• Support monthly performance reporting and analytical reviews across the business.
• Present findings and insights clearly to non-technical audiences, helping stakeholders make informed decisions.

An exciting opportunity for an analytically minded graduate to join a highly commercial business function, contributing to the development of analytical strategy, decision-support modelling, and data-driven insight., * Degree (2:1 or above) in Mathematics, Statistics, Economics, or a closely related field.

• Further MSc in a quantitative discipline advantageous.
• Strong understanding of statistical modelling, probability, and data-driven decision analysis.
• Excellent attention to detail, with a logical and curious mindset.
• Proficient in Excel, with the ability to manipulate and interrogate large datasets.
• Exposure to tools such as VBA, SPSS, SAS, R, or Python is beneficial.
• Confident communicator and team player who enjoys solving complex problems in a fast-paced environment., * Coding
• Data Analysis
• Mathematics
• Statistics
• Graduate Level

• Competitive starting salary and structured progression.
• Hands-on experience with leading mathematical and analytical methodologies.
• Exposure to advanced analytical tools and commercial decision modelling.
• A collaborative environment designed to support your growth and professional development.