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- Tasks: Join us as a Data Analyst, working with AI and automation in food production.
- Company: Be part of a modern food manufacturing company driving digital transformation.
- Benefits: Enjoy a salary up to £33,000 plus fantastic extra benefits and primarily remote work.
- Why this job: Gain hands-on experience with cutting-edge technology and impactful projects.
- Qualifications: Strong SQL/Python skills and experience in manufacturing or mechanical engineering required.
- Other info: Perfect for early career professionals eager to learn and grow.
The predicted salary is between 19800 - 26400 £ per year.
Up to £33,000 + BENEFITS
PRIMARILY REMOTE
Become part of a dynamic digital transformation journey in a modern food production environment.
THE COMPANY: This food manufacturing company is a great opportunity for someone early in their career to get to work hands on with computer vision, AI powered automation, and real time business intelligence tools.
THE ROLE: A Data Analyst will need experience in:
- Building and maintaining dashboards
- Gathering, cleaning and analysing manufacturing data
- Supporting ongoing projects involving AI models and predictive analytics tools
YOUR SKILLS AND EXPERIENCE: A successful Data Analyst will have the following skills and experience:
- Strong experience with SQL/Python
- Experience in manufacturing or mechanical engineering
- Data Visualisation - ideally in Tableau
THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £33,000. On top of the salary there are some fantastic extra benefits.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst AI & Automation
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL and Python. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Gain a solid understanding of data visualisation techniques, particularly in Tableau. You could create sample dashboards using publicly available datasets to demonstrate your ability to present data effectively.
✨Tip Number 3
Network with professionals in the food manufacturing industry or those who work with AI and automation. Attend relevant webinars or local meetups to make connections that could lead to referrals or insights about the company.
✨Tip Number 4
Prepare to discuss your experience with AI models and predictive analytics during interviews. Think of examples from your past work or studies where you applied these concepts, as this will show your practical knowledge and enthusiasm for the role.
We think you need these skills to ace Data Analyst AI & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data visualisation tools like Tableau. Emphasise any relevant projects or roles in manufacturing or mechanical engineering.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and automation in the food production industry. Mention specific examples of how your skills align with the job requirements and how you can contribute to their digital transformation journey.
Highlight Relevant Projects: If you've worked on projects involving dashboards, AI models, or predictive analytics, be sure to include these in your application. Detail your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL and Python during the interview. Be prepared to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Data Visualisation Knowledge
Since data visualisation is key for this role, be ready to talk about your experience with tools like Tableau. Bring examples of dashboards you've created and explain the thought process behind your design choices.
✨Understand the Company’s Focus on AI and Automation
Research the company's initiatives in AI-powered automation and computer vision. Showing that you understand their digital transformation journey will demonstrate your genuine interest in the role and the company.
✨Prepare Questions About the Role
Have a few insightful questions ready to ask at the end of the interview. This could include inquiries about ongoing projects involving AI models or how the team collaborates on data analysis tasks. It shows you're engaged and thinking critically about the position.
