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- Tasks: Join our data team to analyse and improve supply chain processes with actionable insights.
- Company: Zencargo, a collaborative tech company in London.
- Benefits: Gain hands-on experience, develop skills, and enjoy a supportive learning environment.
- Other info: Opportunity for growth and learning in a fast-paced environment.
- Why this job: Make a real impact on data solutions while working with a dynamic team.
- Qualifications: Experience in data analysis, strong SQL skills, and a passion for problem-solving.
The predicted salary is between 30000 - 40000 £ per year.
Zencargo is looking for a Junior Data Analyst to join our collaborative data team on a fixed term 9/12 month contract. This role combines analytical and engineering expertise to deliver actionable insights and improve supply chain data processes.
As part of the Data Analytics team, you will be responsible for supporting the wider business by providing insights. You will collaborate closely with data analysts, data engineers, and software engineers to ensure that source data is modelled effectively to meet downstream requirements.
Key ResponsibilitiesWhat you will do
- Collaborate with the Senior Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes that support internal reporting and embedded analytics.
- Partner with the data analysts to understand data needs, assisting in the creation of dashboards, reports, and KPIs.
- Design and build data solutions to support reporting, analytics, and business insights for supply chain solutions.
- Ensure high data quality, integrity, and security across the different data solutions.
- Participate in building dashboards and visualisations to communicate insights to stakeholders clearly and effectively.
- Troubleshoot and resolve data-related issues, improving data flow efficiency and performance.
- Evaluate and recommend improvements in our data tools, architecture, and practices, focusing on long‑term scalability and adaptability.
- Support in designing, building, and maintaining advanced data models and data warehouses.
- Writing, optimising, and reviewing SQL queries for data extraction and transformation.
What you will need
- Prior experience in a similar role, preferably within a supply chain, logistics, or manufacturing environment, is preferable.
- Enjoy working collaboratively with data engineers and analysts to enhance data insights and analytics.
- You thrive in team environments, are open to feedback, and communicate well with technical and non‑technical stakeholders.
- Passionate about solving both business and technical problems with a strong analytical mindset and attention to detail.
- Self‑motivated and able to take the initiative to tackle incoming challenges.
- You work effectively under time constraints and can manage competing priorities.
- Experience in statistical analysis, predictive modelling, and data interpretation is beneficial.
- Strong visualisation and BI skills.
- Proficiency in Google Sheets and/or Excel.
- Solid SQL skills, with experience in optimising queries and managing complex datasets.
- Understands data warehouse concepts and has experience in data modelling and designing and building data warehouses.
- Have experience building ETL/ELT data pipelines and data manipulation.
- Familiarity with version control systems (e.g., Git).
Nice to have:
- Experience with GCP BI Components (BigQuery, Cloud Functions and Compute Engine), dbt, data visualisation tools (i.e. Thoughspot, Looker, Power BI), Github, and Terraform.
- Basic Python scripts.
You are not expected to be an expert in all of these technologies and tools, we are happy to support your learning journey.
Junior Analytics Engineer/ Data Analyst (12 Month Fixed Term) in London employer: Zencargo
Contact Detail:
Zencargo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Analytics Engineer/ Data Analyst (12 Month Fixed Term) 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 data projects, dashboards, or any relevant work. 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 practising common questions and scenarios related to data analytics. Think about how you can demonstrate your problem-solving skills and teamwork experience, as these are key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Junior Analytics Engineer/ Data Analyst (12 Month Fixed Term) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Analytics Engineer role. Highlight any relevant projects or roles that showcase your analytical and engineering expertise.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any specific tools or technologies you've worked with that align with the job description.
Showcase Your Collaboration Skills: Since this role involves working closely with data engineers and analysts, emphasise your teamwork experience. Share examples of how you've successfully collaborated on projects in the past.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Zencargo
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like SQL and data visualisation software. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Show Your Collaborative Spirit
Since this role involves working closely with data engineers and analysts, prepare examples of how you've successfully collaborated in a team. Highlight your communication skills and how you handle feedback.
✨Demonstrate Problem-Solving Skills
Think of specific instances where you've tackled data-related challenges. Be prepared to explain your thought process and the steps you took to resolve issues, showcasing your analytical mindset.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data processes and team dynamics. This shows your genuine interest in the role and helps you understand how you can contribute effectively.