At a Glance
- Tasks: Support the development of a market-leading time-series database and derive new data insights.
- Company: Join Clarksons Research, a global leader in shipping intelligence and analysis.
- Benefits: Enjoy a competitive salary, 25 days holiday, gym programmes, and career progression.
- Other info: No shipping background needed; just bring your curiosity and willingness to learn.
- Why this job: Become an expert in a dynamic industry that impacts the global economy.
- Qualifications: Strong analytical skills and experience with data handling tools are essential.
The predicted salary is between 28000 - 32500 £ per year.
We are seeking analytically-minded recent graduates to join our data analyst team in supporting the development of the company’s market-leading time-series database providing intelligence on seaborne trade, shipping markets and shipping industry trends. The role provides the opportunity to become an expert within a dynamic and fast-paced industry central to the global economy.
What you’ll be doing:
- Supporting expansion of our market-leading time-series database
- Improving the quality and market relevance of our time-series data
- Deriving new leading edge data using data analytics techniques
- Organising and manipulating complex databases and workflows
- Integrating data with digital data delivery products
- Working closely with other analysts (including across our global network) and supporting clients
You’ll need to have:
- A good degree with a strong numeric and analytical element (we’re open-minded on subject)
- Strong quantitative analysis skills
- Some experience with data handling tools and/or time-series data sets
- The ability to adapt to new programming languages (experience with SQL is helpful)
- The ability to communicate insights clearly visually and verbally
- High levels of accuracy and attention to detail
- Strong motivation and a proactive approach to analysis
We love to see:
- An interest in business and economic data, statistics and computing
- Curiosity and a willingness to learn (no shipping background needed)
Details:
- Salary: £28,000-£32,500 (depending on location and experience) plus bonus and benefits
- Location: Midlands (Worcester), London
- Type: Full-time
- Number of positions: 1
- Closing date: 7th September 2026 (applications accepted immediately)
Working at Clarksons Research:
Clarksons Research is the leading global provider of intelligence, research and valuations across shipping, trade, offshore and energy. Respected worldwide, the Clarksons Research team of 200 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. Clarksons Research is currently offering exciting opportunities for graduates to join our dynamic and fast-growing team; we offer excellent opportunities for career progression within an organisation with a strong track record of graduate recruitment and training. We offer a competitive range of benefits including 25 days holiday, corporate pension scheme, gym and health programmes, cycle-to-work scheme and season ticket loans.
Think you’d be a good fit?
What to expect from us: We believe in human insights and all applications are reviewed by real people, not algorithms. We know your time is valuable and aim to keep to a two-stage process where possible.
Time-Series Data Analyst in London employer: Clarksons Research
Clarksons Research is an exceptional employer for recent graduates, offering a dynamic work culture that fosters innovation and collaboration within the shipping market analytics sector. With a commitment to employee growth, you will have access to structured development paths and the opportunity to work alongside a global network of experts, making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Time-Series Data Analyst in London
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We think you need these skills to ace Time-Series Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Clarksons Research, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Clarksons Research. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Clarksons Research
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Clarksons Research!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
