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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 focused on data-driven solutions.
- Benefits: Gain hands-on experience, develop your skills, and enjoy a supportive learning environment.
- Other info: Flexible learning opportunities and a dynamic team atmosphere await you.
- Why this job: Make a real impact in the supply chain industry while growing your analytical skills.
- Qualifications: Experience in data analysis, 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
- Collaboration: 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.
- Data Solutions: Design and build data solutions to support reporting, analytics, and business insights for supply chain solutions. Ensuring 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.
- Solutions Lifecycle: 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.
- Data Pipelines: Support in designing, building, and maintaining advanced data models and data warehouses. Writing, optimising, and reviewing 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.
- Soft Skills: 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.
- Technical Skills: 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) 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)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Zencargo. A friendly chat can open doors and give you insights that a job description can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or examples of your work that highlight your analytical prowess and data visualisation skills. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and data modelling skills before the interview. You might get asked to solve a problem on the spot, so being prepared is key.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Junior Analytics Engineer/ Data Analyst (12 Month Fixed Term)
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 where you've collaborated with data teams, as this shows us you're a team player!
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. Share specific examples of your analytical mindset and problem-solving skills to grab our attention.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Google Sheets, and any data visualisation tools you’ve used. We love seeing candidates who are eager to learn and grow, so if you have experience with GCP or Python, make sure to include that too!
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 data tools mentioned in the job description, like SQL and Google Sheets. Be ready to discuss your experience with these tools and how you've used them to solve problems or improve processes in previous roles.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data engineers and analysts, prepare examples of past collaborative projects. Highlight how you communicated effectively with both technical and non-technical stakeholders to achieve common goals.
✨Prepare for Technical Questions
Brush up on your knowledge of data pipelines, ETL processes, and data modelling concepts. You might be asked to solve a problem or explain how you would approach a specific data challenge, so practice articulating your thought process clearly.
✨Demonstrate Your Analytical Mindset
Be ready to discuss how you've approached data analysis in the past. Share specific examples where your analytical skills led to actionable insights or improvements, especially in a supply chain or logistics context, as this is highly relevant to the role.