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- Tasks: As a Graduate Data Analyst, you'll analyse data to provide actionable insights and support financial claims.
- Company: Join Datatech, a leading UK recruitment agency in analytics, known for its commitment to diversity.
- Benefits: Enjoy a full-time role in Central London with excellent transport links and potential referral bonuses.
- Other info: This is an office-based role; remote work options are not available.
- Why this job: Kick-start your career in a dynamic environment where your analytical skills can make a real impact.
- Qualifications: You need a 2:1 degree in a quantitative field; advanced Excel skills are essential.
The predicted salary is between 28800 - 48000 £ per year.
Graduate Data Analyst – Mathematics, Operational Research, Statistics or EconometricsLocation: Full time office-based, The Strand, LondonReference: J12974Applicants 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?Are you naturally curious and enjoy asking the why?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 RoleThis is a full-time, office-based position with excellent transport links. As a Data Analyst, you’ll support two core areas:Quantification of financial claimsIdentification of legal cases through data analysisYou’ll be responsible for collecting, preparing, analysing, and presenting data, transforming raw information into clear, actionable insights.Key ResponsibilitiesValidate and quality-check datasets received from clients and partnersPrepare clear, annotated Excel reports with accurate analysisMake and justify assumptions when full datasets aren’t availableDeliver comprehensive written reports, including methodologies and conclusionsPresent findings in well-structured, client-ready Word documentsWhat We’re Looking ForA minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or EconometricsA relevant Master’s degree is a strong advantageAdvanced Microsoft Excel skills (essential)Problem solving skillsExperience managing large datasets using tools such as SAS, Stata, R, or PythonStrong communication skills and attention to detailComfortable working directly with clients and partners to obtain, validate, and interpret dataIf this sounds like the role for you then please apply today!Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SAS, Stata, R, or Python. Having hands-on experience or even completing relevant projects using these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your advanced Microsoft Excel skills, as they are essential for this role. Consider taking an online course or working on personal projects that require complex data analysis to demonstrate your proficiency.
✨Tip Number 3
Prepare to showcase your problem-solving abilities during the interview. Think of examples where you've successfully tackled data-related challenges, and be ready to discuss your thought process and methodologies.
✨Tip Number 4
Since communication is key in this role, practice explaining complex data insights in simple terms. You might want to prepare a short presentation or report based on a dataset you’ve worked with to demonstrate your ability to present findings clearly.
We think you need these skills to ace Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your degree in a quantitative discipline and any relevant experience with data analysis. Emphasise your advanced Microsoft Excel skills and familiarity with tools like SAS, Stata, R, or Python.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data analytics and your problem-solving abilities. Mention specific projects or experiences where you successfully analysed data to derive insights.
Showcase Communication Skills: In your application, demonstrate your strong communication skills by clearly articulating your thoughts. Use examples of how you've presented findings or worked directly with clients to validate and interpret data.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no spelling or grammatical errors, and that your documents are well-structured and easy to read.
How to prepare for a job interview at LinkedIn
✨Showcase Your Analytical Skills
Prepare to discuss specific examples from your academic projects or internships where you applied your analytical skills. Be ready to explain your thought process and the methodologies you used to derive insights from data.
✨Master Excel and Data Tools
Since advanced Microsoft Excel skills are essential for this role, brush up on your Excel functions and features. Familiarise yourself with data analysis tools like SAS, Stata, R, or Python, and be prepared to discuss how you've used them in past experiences.
✨Communicate Clearly
Strong communication skills are crucial for presenting findings. Practice explaining complex data concepts in simple terms, as you may need to convey your insights to clients who may not have a technical background.
✨Ask Insightful Questions
Demonstrate your curiosity by preparing thoughtful questions about the company’s data practices and the specific challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute effectively.