At a Glance
- Tasks: Transform complex data into clear insights for real-world business decisions.
- Company: Join a dynamic team in the marine, cargo, and logistics sector.
- Benefits: Structured training, competitive salary, pension, and private medical cover.
- Other info: Great opportunity to learn modern data tools and collaborate across teams.
- Why this job: Kickstart your career with hands-on experience and mentoring from industry experts.
- Qualifications: Degree in a numerate subject and a passion for data analysis.
The predicted salary is between 25000 - 32000 £ per year.
We're looking for a curious, analytical graduate or early‑career Data Analyst to join our Marine, Cargo and Logistics Specialty team. This is a hands‑on role where you'll learn how data is used in business decisions, working closely with brokers, data specialists, and technology teams. You'll help turn complex datasets into clear insights that support clients and business across sport, media, and entertainment. You don't need to know everything on day one. We're looking for strong foundations, curiosity, and the motivation to learn fast.
With support and mentoring from experienced analysts, you'll:
- Work with brokers and business stakeholders to understand real‑world problems and translate them into data questions.
- Explore and prototype data ideas, helping shape user stories and analytical approaches.
- Clean, analyse and validate data from multiple sources to ensure accuracy and reliability.
- Build insights, visuals and case studies that are used in client discussions and proposals.
- Spot patterns and trends in data and help explain what they mean in practice.
- Use modern data and analytics tools to turn raw data into clear, actionable outputs.
- Collaborate with data, technology and analytics teams across the wider group.
- Document your work and follow best‑practice data standards.
What we are looking for:
Essential- A degree (or equivalent) in a numerate or analytical subject (e.g. maths, statistics, data science, economics, engineering, sciences)
- Strong attention to detail and logical thinking
- A genuine interest in how data can influence business decisions
- Confidence explaining ideas to both technical and non‑technical audiences
- An inquisitive, problem‑solving mindset
- Experience using Excel for analysis
- Exposure to Python, SQL and/or R through study, projects or internships
- Familiarity with data visualisation tools such as Power BI (or similar)
- Interest in learning modern data platforms (Databricks)
- University or personal projects involving real datasets
- Basic understanding of data modelling or data pipelines
- Curiosity about GenAI / LLMs and how they can support analytics
- An interest in cargo, marine, logistics, insurance and commercial analytics.
What you'll get:
- A structured early‑career role with on‑the‑job learning and mentoring
- Exposure to client and operations work
- Training and professional qualifications (e.g. Chartered Insurance Institute)
- Competitive salary, generous pension and private medical cover
Junior Data Analyst employer: Howden
Join our dynamic Marine, Cargo and Logistics Specialty team as a Junior Data Analyst, where you'll thrive in a supportive environment that fosters curiosity and professional growth. With hands-on training, mentoring from experienced analysts, and exposure to real-world business challenges, you'll develop your analytical skills while contributing to impactful projects across sport, media, and entertainment. Enjoy a competitive salary, generous benefits, and the opportunity to gain professional qualifications, all within a collaborative culture that values innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the marine, cargo, and logistics sectors on LinkedIn. Join relevant groups and engage in discussions to show your interest and curiosity about the industry.
✨Tip Number 2
Prepare for interviews by practising common data analysis questions. Think about how you can explain complex data concepts in simple terms, as you'll need to communicate with both technical and non-technical folks.
✨Tip Number 3
Showcase your analytical skills through personal projects or case studies. Create a portfolio that highlights your ability to clean, analyse, and visualise data, even if it's from university projects or internships.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Show Your Curiosity:We want to see your inquisitive side! In your application, highlight any projects or experiences that showcase your curiosity about data and how it can influence business decisions. Don't be shy about sharing your passion for learning!
Tailor Your Application:Make sure to customise your application to fit the Junior Data Analyst role. Use keywords from the job description and relate your skills and experiences directly to what we’re looking for. This shows us you’ve done your homework and are genuinely interested.
Highlight Your Technical Skills:Even if you don’t tick every box, let us know about your experience with tools like Excel, Python, or SQL. If you've worked on any relevant projects, mention them! We appreciate a willingness to learn and grow in these areas.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We want to see your analytical thinking in action, so make it easy for us to follow your ideas.
How to prepare for a job interview at Howden
✨Know Your Data Basics
Before the interview, brush up on your foundational knowledge of data analysis. Familiarise yourself with key concepts like data cleaning, validation, and visualisation. Being able to discuss these topics confidently will show your genuine interest in how data influences business decisions.
✨Show Your Curiosity
Prepare some thoughtful questions about the role and the company. Ask about the types of datasets you might work with or how the team collaborates on projects. This not only demonstrates your curiosity but also your eagerness to learn and grow within the role.
✨Practice Explaining Complex Ideas Simply
Since you'll be working with both technical and non-technical audiences, practice explaining data concepts in simple terms. Use examples from your studies or projects to illustrate your points. This will help you stand out as someone who can bridge the gap between data and business needs.
✨Familiarise Yourself with Tools
While you don’t need to know every tool on day one, having a basic understanding of Excel, Python, or SQL can give you an edge. If you’ve used any data visualisation tools like Power BI, be ready to discuss your experience. Showing that you're proactive about learning these tools will impress your interviewers.
