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- Tasks: Join our Data Analytics team to deliver insights from diverse global datasets using cutting-edge techniques.
- Company: Clarksons Research, a leading global provider of intelligence and research in shipping and trade.
- Benefits: Enjoy 25 days holiday, free lunch, gym access, and season ticket loans.
- Why this job: Kickstart your career with hands-on experience in data science and analytics.
- Qualifications: Recent graduates with a degree in a numerate or analytical subject and strong analytical skills.
- Other info: Fast-paced environment with opportunities to progress into technical roles.
The predicted salary is between 26000 - 39000 £ per year.
We are seeking recent graduates to join our Data Analytics team to deliver datasets and insights from a wide range of proprietary sources using the latest data science and analytical techniques.
What you’ll be doing:
- Use the latest data processing/analysis techniques and visualisation tools to deliver insights working with diverse and global data sets, including geospatial and big data.
- Gain strong technical skills in SQL, Python, Power BI, Databricks (full range of appropriate training provided).
- Build database and data pipelines to process and analyse data.
- Build and use algorithmic and machine learning techniques to extract, transform, derive, aggregate and validate data.
- Work in a fast‑paced, motivated and agile team.
- Opportunities to progress into more technical data science, data engineering or web development roles.
Requirements:
- Ideal candidates will be recent graduates with a degree in a numerate or analytical subject (e.g. mathematics, chemistry, physics, earth science, data science, computer science, engineering etc.) with a 2.1 or above and excellent academic background prior to this.
- Strong numerical, data handling and analytical skills in relation to complex data sets are required.
- Ability to articulate analysis and findings verbally and using visualisation tools.
- Good organisational skills and strong attention to detail.
- Ability and willingness to adapt to and quickly learn new programming languages and software tools.
- Interest in and awareness of data science technology landscape.
- Interest and understanding of global trade, economics and statistics are also important.
Working at Clarksons Research:
Clarksons Research is the leading global provider of intelligence and research across shipping, trade, offshore and energy. Respected worldwide, the Clarksons Research team of over 175 experts provides powerful analysis, insight, and data through a range of online platforms, reports, valuations, and consultancy work. Clarksons Research is part of the Clarksons Group, the world’s leading integrated shipping services provider and a FTSE 250 company.
Benefits include:
- 25-days holiday.
- Free lunch in the company canteen.
- Gym and health programmes.
- Season ticket loans.
Details:
- Salary: £32,500 and benefits.
- Location: London/Midlands/Hybrid.
- Number of vacancies: 1-2.
- Closing date: 31st December 2025 (though applications reviewed and accepted immediately).
Think you’d be a good fit: Send a CV and letter to recruitment.crs@clarksons.com quoting reference CRSL/RES/512. In the meantime, have a look at www.clarksons.net/about-us and www.clarksons.com/research.
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
Industries: Research
Data Analyst employer: Clarksons Research
Contact Detail:
Clarksons Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connect with professionals in the data analytics field on LinkedIn. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using SQL, Python, or Power BI. This is your chance to demonstrate what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data analysis questions and scenarios. Use mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Clarksons Research.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that match the job description. We want to see how your background in data analysis and any technical skills like SQL or Python can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about data analytics. Share specific examples of projects or coursework that demonstrate your analytical skills and interest in the field.
Show Off Your Technical Skills: Don’t forget to mention any experience you have with data processing tools or programming languages. If you've worked with Power BI, Databricks, or machine learning techniques, let us know how you used them!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Clarksons Research
✨Know Your Data Tools
Familiarise yourself with SQL, Python, Power BI, and Databricks before the interview. Being able to discuss your experience or coursework with these tools will show that you're ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare examples of how you've handled complex data sets in your studies or projects. Be ready to explain your thought process and the techniques you used to derive insights from the data.
✨Communicate Clearly
Practice articulating your analysis and findings. Use visualisation tools to create a simple presentation of your work, as this will demonstrate your ability to convey complex information effectively.
✨Stay Curious About Data Science
Research current trends in data science and express your interest during the interview. Showing that you’re aware of the technology landscape and eager to learn will impress the interviewers.
