Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our data team to analyse and improve supply chain processes with actionable insights.
- Company: Zencargo, a collaborative tech company focused on data-driven solutions.
- Benefits: Gain valuable experience, work in a supportive environment, and enhance your skills.
- Other info: Flexible learning opportunities and a chance to work with cutting-edge technologies.
- Why this job: Make a real impact by transforming data into insights that drive business success.
- 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 Responsibilities
- 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.
- Write, optimise, and review SQL queries for data extraction and transformation.
Skills, Knowledge and Expertise
- 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. If you're unsure about any of the above, please apply.
Junior Analytics Engineer/ Data Analyst (12 Month Fixed Term) in London employer: Dataanalystjobs
Contact Detail:
Dataanalystjobs 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, especially 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. Plus, we love seeing candidates who are proactive and eager to join our team!
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 Data Analyst role. Highlight any relevant projects or roles you've had, especially those involving data analysis or supply chain processes.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our team. Share specific examples of your analytical mindset and collaborative spirit to show us you're a great fit.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Google Sheets, and any other relevant tools. If you've worked with data pipelines or visualisation tools, let us know! We love seeing practical examples of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. 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 Dataanalystjobs
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like SQL and data visualisation platforms. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Show Your Collaborative Spirit
Zencargo values teamwork, so be prepared to share examples of how you've successfully collaborated with others. Highlight any experiences where you worked closely with data engineers or analysts to solve problems or deliver insights.
✨Demonstrate Your Analytical Mindset
Prepare to discuss specific instances where you've tackled complex data challenges. Think about how you approached these problems, the analytical methods you used, and the outcomes of your efforts.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the role and the company. Inquire about their data processes, team dynamics, or future projects. This not only demonstrates your enthusiasm but also helps you gauge if it's the right fit for you.