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- Tasks: Lead a team to analyse vessel and company data, ensuring quality and integration of new datasets.
- Company: A top global trade information provider based in Greater London.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Why this job: Make a real impact by shaping strategic resources for clients with your insights.
- Qualifications: Strong analytical skills, proficiency in SQL and Python, and ETL experience.
- Other info: Join a dynamic team focused on innovation and customer satisfaction.
The predicted salary is between 36000 - 60000 £ per year.
A leading global trade information provider in Greater London is seeking an experienced Data Analyst to lead the Vessel Particulars & Companies team. This role involves overseeing operations, defining team goals, and integrating new datasets while ensuring overall data quality.
The ideal candidate should have strong analytical skills, proficiency in SQL and Python, and experience with ETL processes.
Join a diverse team committed to innovation and customer satisfaction, where your insights will shape strategic resources for clients.
Lead Data Analyst - Vessel & Company Data in London employer: Kpler
Contact Detail:
Kpler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Vessel & Company Data in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your analytical prowess! Bring examples of past projects where you’ve integrated new datasets or improved data quality. Real-life stories resonate well with interviewers.
✨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 about their job search.
We think you need these skills to ace Lead Data Analyst - Vessel & Company Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and ETL processes. We want to see how your skills align with the role of Lead Data Analyst, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our Vessel Particulars & Companies team. Let us know what excites you about working with us!
Showcase Your Analytical Skills: In your application, give examples of how you've used your analytical skills to solve problems or improve processes. We love seeing real-world applications of your expertise, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Kpler
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of vessel particulars and company data. Be prepared to discuss how you’ve used SQL and Python in past projects, and think of specific examples where your analytical skills made a difference.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be ready to talk about your experience in overseeing operations and defining team goals. Share instances where you successfully integrated new datasets and improved data quality, highlighting your ability to inspire and guide others.
✨Understand the Company’s Vision
Research the company’s mission and values, especially their commitment to innovation and customer satisfaction. This will help you align your answers with what they’re looking for and demonstrate that you’re genuinely interested in contributing to their goals.
✨Prepare for Technical Questions
Expect some technical questions related to ETL processes and data analysis. Brush up on your knowledge and be ready to solve problems on the spot. Practising common SQL queries or Python scripts can give you an edge during the interview.
