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- Tasks: Support data-driven initiatives by extracting data and maintaining Power BI.
- Company: Leading global manufacturer of safety wear with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and contribute to AI solutions in eCommerce.
- Qualifications: Degree in Data Analytics and experience in eCommerce data analysis.
- Other info: Collaborative environment with a strong emphasis on teamwork.
The predicted salary is between 30000 - 42000 £ per year.
A leading global manufacturer of safety wear is seeking a Junior Ecommerce and Marketplace Data Analyst to support data-driven initiatives. This role is hybrid, requiring one day a week at the Manchester office.
Key tasks include:
- Data extraction
- Power BI maintenance
- Collaboration on AI solutions
Candidates should have a degree in Data Analytics or related fields and experience in data analysis, particularly in eCommerce. Strong skills in Power BI and Excel are essential, along with a collaborative mindset.
Ecommerce Data Analyst: AI & Marketplaces (Hybrid) in Manchester employer: Portwest
Contact Detail:
Portwest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ecommerce Data Analyst: AI & Marketplaces (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the eCommerce and data analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on that perfect job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Power BI and Excel. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical mindset and collaborative spirit.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Ecommerce Data Analyst: AI & Marketplaces (Hybrid) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially in eCommerce. We want to see how your skills in Power BI and Excel can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Tell us why you're excited about working with data in the safety wear industry and how you can contribute to our team.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or previous jobs, make sure to mention them! We love seeing real examples of your work and how you've used data to drive decisions.
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 us!
How to prepare for a job interview at Portwest
✨Know Your Data Tools
Make sure you brush up on your Power BI and Excel skills before the interview. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and understanding of data analysis in an eCommerce context.
✨Showcase Your Collaborative Spirit
Since the role involves collaboration on AI solutions, think of examples where you've worked effectively in a team. Highlight how you contributed to group projects and how you can bring that collaborative mindset to their team.
✨Understand the Company’s Market
Do some research on the company and its position in the safety wear market. Being able to discuss their products and how data analytics can drive their eCommerce initiatives will demonstrate your genuine interest and preparedness for the role.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their data-driven initiatives or how they envision the role evolving with AI solutions. It shows you're engaged and thinking about the future of the position.
