Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Data Analyst

CLARKSON PLC
City of London
3 weeks ago
Create job alert

Select how often (in days) to receive an alert:

Clarksons is the world’s leading provider of integrated shipping and offshore services, bringing our connections and experience to an international client base. Our intelligence adds value by enabling clients to make more efficient and informed decisions. Our global reach, local knowledge and expertise is what makes us unique.

Division Overview

Digital Transformation builds and supports the tooling that:

  • Strengthen our leadership in the brokerage industry by delivering innovative digital solutions that keep brokers and clients competitive and informed.
  • Enhance operational efficiency by integrating advanced technology into our business processes.
  • Ensure compliance with systems that mitigate risks, meet regulatory standards, and support clients in navigating the green transition.
Role Summary

We have a fantastic opportunity for a Data Analyst to join Clarksons’ Data Analysis and Digital Innovation team in London.

The Junior Data Analyst will have the opportunity to work in a team focusing on Clarkson’s ongoing Digital Transformation. He/she will also gain exposure to the commercial side of the world’s shipping industry and collaborate with a wide range of stakeholders from brokers, market analysts, data engineers, and application developers. This position would be ideal for a fresh university graduate or a professional with a year or two of experience. The candidate needs to have a strong quantitative mindset, a passion for problem solving, and the strength to learn and grow.

What you will be doing
  • Support the development of proof-of-concept algorithms, models and metrics creating unique and creative solutions to a wide range of data, UX, and other workflows.
  • Test hypotheses and perform adhoc analysis to understand commercial problems and add value.
  • Working independently to create innovative solutions to Maritime challenges.
  • Present results back to the team and stakeholders.
  • Build and maintain reporting dashboards in PowerBI.
  • Work collaboratively within a team of analysts to share and develop knowledge.
  • Embody a data-driven approach to decision making to challenge establish practices.
  • Help design and facilitate the building of organization data warehouse pipelines.
  • Additional ad hoc duties as required to meet the needs of the business.
What we are looking for
  • A mathematic or other quantitative degree from a reputable university.
  • A strong understanding and passion for statistics and quantitative methods.
  • Experience in O365 applications, particularly familiarity with Excel
  • Previous experience with Python (or similar programming language), SQL, and Power BI is a plus but not necessary.
  • A passion for problem-solving and a desire to search for the truth.
  • An ability to connect the dots and understand how different pieces of a puzzle work together.
  • An aptitude for attention to detail and checking one’s work.
  • A collaborative minded individual that is willing to hear other’s arguments and change one’s mind to the best solution presented.
  • Excellent verbal and written communication skills in English.
What you can expect from us
  • In return you will have an exciting opportunity to join and be part of a leading organisation that is shaping the maritime industry. This is a fast-paced, dynamic, and highly collaborative environment where there are significant opportunities for growth and development.


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst Bootcamp (Merton)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.