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- Tasks: Analyse digital marketing performance and create bespoke reports.
- Company: Rapidly growing e-commerce company in Greater London.
- Benefits: Full-time position with growth opportunities in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact through data-driven insights.
- Qualifications: Degree in a quantitative discipline and strong programming skills, especially in Python.
- Other info: Immediate onsite presence required for collaboration.
The predicted salary is between 28800 - 48000 £ per year.
A rapidly growing e-commerce company in Greater London is seeking a Junior Analyst to support its marketing team. You will analyse digital marketing performance, build bespoke reports, and collaborate with various stakeholders.
Candidates should have a degree in a quantitative discipline and possess strong programming skills, especially in Python.
This full-time position offers an opportunity to grow within a fast-paced environment that emphasizes innovation and analytical prowess. Immediate onsite presence required.
Junior Ecommerce Data Analyst: AI & Insights in London employer: Printerpix
Contact Detail:
Printerpix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Ecommerce Data Analyst: AI & Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the e-commerce space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects, especially in Python. This will not only demonstrate your technical abilities but also your passion for data analysis in the e-commerce sector.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and case studies. We recommend practising with friends or using online resources to simulate the experience and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Ecommerce Data Analyst: AI & Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills, especially in Python, and any relevant experience in data analysis. We want to see how your background aligns with the Junior Ecommerce Data Analyst role!
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for e-commerce and data analysis. Tell us why you're excited about this opportunity and how you can contribute to our marketing team’s success.
Showcase Your Analytical Skills: In your application, include examples of how you've used data to drive insights or improve performance in previous roles or projects. We love seeing your analytical prowess in action!
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 Printerpix
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss how you've used data analysis in the past. Be prepared to share specific examples of reports you've built or insights you've derived from data, especially if they relate to digital marketing performance.
✨Show Off Your Python Skills
Since strong programming skills in Python are a must, make sure you can talk about your experience with it. Bring examples of projects where you've used Python for data analysis, and if possible, be ready to solve a coding challenge during the interview.
✨Understand the Company’s Marketing Strategy
Do your homework on the company’s current marketing efforts. Familiarise yourself with their digital channels and think about how your analytical skills can contribute to improving their performance. This shows that you're genuinely interested and proactive.
✨Prepare for Stakeholder Collaboration
As you'll be collaborating with various stakeholders, think about how you can communicate complex data insights in a simple way. Prepare examples of how you've worked with different teams in the past and how you ensured everyone was on the same page.