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: Competitive salary, pension, private medical cover, and professional training.
- Other info: Flexible working options and opportunities for career growth.
- Why this job: Kickstart your career with hands-on experience and mentoring in data analytics.
- Qualifications: Degree in a numerate subject and a passion for data-driven decision making.
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.
Responsibilities
- 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.
- Technical skills (you don’t need all of these on day one).
- 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).
Nice to have (but not required)
- 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 insurance, sport, entertainment, or 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.
Reasonable adjustments
We’re committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours or hybrid working.
Junior Data Analyst employer: Howden Group Services Limited
Join Howden as a Junior Data Analyst and immerse yourself in a dynamic work culture that prioritises learning and growth. With a structured early-career programme, you'll receive hands-on training and mentoring while collaborating with industry experts in the Marine, Cargo and Logistics sector. Enjoy competitive benefits, including a generous pension and private medical cover, all within a supportive environment that values your curiosity and professional development.
Contact Details:
Howden Group Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Practice your interview skills! Mock interviews with friends or mentors can help you articulate your thoughts clearly. Focus on explaining how your analytical mindset can solve real-world problems, just like the ones you'll face in this role.
✨Tip Number 3
Showcase your projects! If you've worked on any data analysis projects, make sure to highlight them in conversations. Discussing your hands-on experience with tools like Excel, Python, or SQL can really impress potential employers.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to reflect your curiosity and eagerness to learn, and don’t forget to mention your passion for data-driven decision-making.
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 where you explored data and asked questions. This shows us you're ready to dive into the world of data analysis.
Tailor Your Application:Make sure to customise your CV and cover letter for this role. Use keywords from the job description and relate your skills to what we’re looking for. It helps us see how you fit into our team!
Highlight Relevant Skills:Even if you don’t have all the technical skills listed, focus on what you do know. Mention your experience with Excel, Python, or any data visualisation tools. We appreciate a willingness to learn and grow!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Howden Group Services Limited
✨Know Your Data Basics
Brush up on your foundational knowledge in data analysis. Familiarise yourself with key concepts like data cleaning, validation, and visualisation. This will help you confidently discuss how you can apply these skills in real-world scenarios during the interview.
✨Show Your Curiosity
Demonstrate your inquisitive nature by preparing questions about the company's data practices and challenges. This shows that you're not just interested in the role but also eager to learn and contribute to solving real-world problems.
✨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 clearly, making it easier for interviewers to see your communication skills.
✨Familiarise Yourself with Tools
Even if you don't have extensive experience, showing familiarity with tools like Excel, Python, or Power BI can set you apart. Consider doing a quick project or two using these tools to demonstrate your hands-on experience and willingness to learn.
