Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines while delivering insights to enhance supply chain processes.
- Company: A dynamic data-driven logistics company based in London.
- Benefits: 12-month contract with competitive pay and opportunities for skill development.
- Other info: Great opportunity for teamwork and problem-solving in a fast-paced environment.
- Why this job: Join a collaborative team and make a real impact on data analytics in logistics.
- Qualifications: Strong SQL skills and an analytical mindset are essential.
The predicted salary is between 30000 - 40000 £ per year.
A data-driven logistics company in London is seeking a Junior Analytics Engineer/Data Analyst for a 12-month fixed term contract. The role entails collaboration with teams to design and maintain data pipelines and ETL processes, focusing on delivering insights to improve supply chain data processes.
Candidates should possess strong SQL skills and an analytical mindset. The position emphasizes teamwork, communication, and problem-solving skills, with various tools and data analytics involved.
Junior Analytics Engineer: Data Pipelines & Insights in London employer: Zencargo
Contact Detail:
Zencargo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Analytics Engineer: Data Pipelines & Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, 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
Show off your skills! Create a portfolio showcasing your SQL projects or any data pipelines you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics questions and problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in teamwork-focused roles like this one.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Junior Analytics Engineer: Data Pipelines & Insights in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL skills in your application. We want to see how you can use SQL to tackle data challenges, so include specific examples of projects or tasks where you've used it effectively.
Emphasise Teamwork and Communication: Since this role is all about collaboration, don’t forget to mention your teamwork and communication skills. Share experiences where you’ve worked with others to solve problems or deliver insights, as this will resonate with us.
Be Analytical and Problem-Solving Savvy: We’re looking for an analytical mindset, so make sure to showcase your problem-solving abilities. Include instances where you’ve identified issues and implemented solutions, especially in data processes or analytics.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Zencargo
✨Know Your SQL Inside Out
Since strong SQL skills are a must for this role, make sure you brush up on your SQL knowledge. Be prepared to answer questions about complex queries, data manipulation, and how you would optimise performance in data pipelines.
✨Show Off Your Analytical Mindset
During the interview, highlight your problem-solving abilities. Share examples of how you've used data to derive insights in past projects or coursework. This will demonstrate your analytical mindset and how you can contribute to improving supply chain processes.
✨Emphasise Teamwork and Communication
This role requires collaboration with various teams, so be ready to discuss your experiences working in teams. Talk about how you communicate complex data findings to non-technical stakeholders, as this will show your ability to bridge the gap between data and decision-making.
✨Prepare Questions About Data Tools
Familiarise yourself with the tools and technologies commonly used in data analytics and ETL processes. Prepare thoughtful questions about the specific tools the company uses and how they integrate into their workflows. This shows your genuine interest in the role and the company.