Senior Data Analyst

We are seeking experienced data analysts to join our teams providing data and intelligence across the shipping and energy industries. We deliver actionable data-driven insights across diverse global shipping, trade, offshore, renewables and energy datasets. You will have the opportunity to build on your data analytics skills, and develop deep knowledge in a dynamic and fast-paced industry that sits at the heart of the world economy.

What you’ll be doing:

• Use the latest data science tools and techniques for data processing, analysis and visualisation of large, complex data sets
• Collaborate with stakeholders to gather requirements, plan deliverables, and track implementation with analysts, data engineers and developers
• Incorporate advanced AI and algorithms where relevant
• Lead implementation of ETL and processing pipelines, data derivation and analysis
• Work across teams, support clients and report progress to senior management

You’ll need to have:

• 3-4 years’ data analytics experience working with complex data models
• Ability to update technical and non-technical stakeholders on progress on projects
• Experience supervising junior analysts, data engineers and developers
• Excellent SQL skills including complex queries, stored procedures and spatial
• Working knowledge of Python, JSON and DAX
• Ability to deliver actionable insights clearly using visualisation tools such as Power BI
• Strong numerical, data handling and analytical skills
• A degree in a relevant numerate or analytical subject
• Good organisational skills and strong attention to detail

We love to see:

• Curiosity and willingness to learn new techniques, programming languages and software tools
• Appreciation of the wider data science technology landscape including Databricks
• Awareness of global trade, economics and statistics

Details:

Salary: Competitive (dependent on experience) plus bonus and benefits

Location: London/Midlands/Hybrid

Number of vacancies: 1-2

Start date: Q3 2026

Closing date: 13th September 2026 (applications accepted and reviewed immediately)

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.

Clarksons Research is currently offering exciting opportunities for experienced senior data analysts to join its expanding Analytics team. Successful candidates will join a fast-expanding business offering excellent opportunities for career progression within a supportive organisation with a strong track record of training, mentoring and ensuring people reach their full potential. 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?

Send a CV and cover letter to Apeksha Mehta at [email protected] quoting reference CRSL/RES/512.

We also accept applications via LinkedIn though priority is given to applications received by email. Candidates with prior shipping industry experience are encouraged to contact us via email; we would be happy to arrange a discussion with a senior manager or director to explore opportunities for more experienced hires and how your background could best fit within the business.

To prioritise your application for immediate review or to highlight relevant maritime or energy industry experience, please send a CV and letter to [email protected] quoting reference CRSL/RES/512.

For more information about us, have a look at clarksons.net/about-us and clarksons.com/research

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.