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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 top UK recruitment agency in analytics, known for its commitment to diversity and innovation.
- Benefits: Enjoy a full-time role in Central London with excellent transport links and opportunities for professional growth.
- 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 and advanced Excel skills; a Master's is a plus.
- Other info: Refer a friend and earn rewards through our fantastic referral schemes!
The predicted salary is between 28800 - 43200 £ per year.
Location: Full time office-based, The Strand, London
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
If 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.
Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics employer: Datatech
Contact Detail:
Datatech 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 Excel skills, as they are essential for this role. Consider taking an online course or working on personal projects that require data analysis to demonstrate your proficiency.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data to solve problems or deliver insights. This will showcase your analytical thinking and ability to apply your knowledge practically during interviews.
✨Tip Number 4
Network with professionals in the data analytics field, especially those who work in similar roles. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
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 any 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 providing examples of how you've effectively presented findings or worked with clients. This is crucial for the role as it involves delivering comprehensive reports.
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. Attention to detail is key!
How to prepare for a job interview at Datatech
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis tools like Excel, SAS, Stata, R, or Python. Highlight specific projects or coursework where you successfully managed large datasets and derived actionable insights.
✨Prepare for Technical Questions
Expect questions that test your problem-solving abilities and understanding of statistical concepts. Brush up on key methodologies relevant to the role, and be ready to explain how you would approach real-world data challenges.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex data findings in simple terms, as you may need to present your results to clients who aren't data-savvy. Use examples from your past experiences to illustrate your points.
✨Demonstrate Attention to Detail
Since the role involves validating and quality-checking datasets, be prepared to discuss how you ensure accuracy in your work. Share examples of how you've caught errors or improved processes in previous projects or studies.
