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Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics

DataTech Analytics
London
2 weeks ago
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Description

Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics


Location: Full time office-based, The Strand, London


Reference: J12974


Applicants must have full UK working rights - unfortunately, post-study work visas cannot be accepted.


Are you a numerically gifted graduate looking to kick-start a career in data analytics?


We're working with a respected client based in Central London, who is looking to grow their analytical team with a bright and motivated Graduate Data Analyst.


If you hold a degree (or master's) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics, and are passionate about working with data to deliver real-world insights, this could be your ideal first step.


About the Role


This is a full-time, office-based position with excellent transport links. As a Data Analyst, you'll support two core areas:


• Quantification of financial claims
• Identification of legal cases through data analysis


You'll be responsible for collecting, preparing, analysing, and presenting data, transforming raw information into clear, actionable insights.
Key Responsibilities


Validate and quality-check datasets received from clients and partners


• Prepare clear, annotated Excel reports with accurate analysis
• Make and justify assumptions when full datasets aren't available
• Deliver comprehensive written reports, including methodologies and conclusions
• Present findings in well-structured, client-ready Word documents


What We're Looking For


• A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics
• A relevant Master's degree is a strong advantage
• Advanced Microsoft Excel skills (essential)
• Problem solving skills
• Experience managing large datasets using tools such as SAS, Stata, R, or Python
• Strong communication skills and attention to detail
• Comfortable working directly with clients and partners to obtain, validate, and interpret data


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