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- Tasks: Drive data insights and facilitate customer integrations in a dynamic team.
- Company: Leading ecommerce optimisation platform with a focus on innovation.
- Benefits: Competitive salary, unlimited vacation, and professional growth opportunities.
- Why this job: Make an impact in the ecommerce space while working remotely.
- Qualifications: Strong skills in SQL, Python, and data analysis techniques.
- Other info: Join a collaborative environment with exciting career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading ecommerce optimization platform is seeking a Data Scientist to enhance their Data Science Integrations team. You will drive data insights, facilitate customer integrations, and collaborate across functions.
The ideal candidate has strong skills in SQL, Python, and data analysis techniques.
This fully remote position offers a salary between $80k and $120k USD, unlimited vacation time, and professional growth opportunities.
Data Analyst — AI-Driven Ecommerce Analytics (Remote) employer: Constructor
Contact Detail:
Constructor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst — AI-Driven Ecommerce Analytics (Remote)
✨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 in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data analysis questions and be ready to discuss how you've used data to drive insights in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm!
We think you need these skills to ace Data Analyst — AI-Driven Ecommerce Analytics (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in SQL, Python, and data analysis techniques. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data challenges in the past. We’re looking for someone who can drive insights and facilitate customer integrations, so share those success stories that demonstrate your analytical prowess!
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Constructor
✨Know Your SQL and Python
Brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages to drive data insights. Practising coding challenges can also help you feel more confident.
✨Understand the Ecommerce Landscape
Familiarise yourself with current trends in ecommerce analytics. Knowing how data impacts customer behaviour and sales can give you an edge. Prepare examples of how you've used data analysis techniques to solve real-world problems in this space.
✨Showcase Your Collaboration Skills
Since this role involves working across functions, be prepared to share experiences where you've successfully collaborated with different teams. Highlight your communication skills and how you’ve facilitated integrations in past roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you. It’s a great way to demonstrate your analytical mindset!
