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- Tasks: Uncover consumer insights and develop data models using AI tools.
- Company: High-growth marketplace platform in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by driving business growth with your analytical skills.
- Qualifications: Strong SQL and Python skills; e-commerce background preferred.
- Other info: Join a dynamic team focused on innovation and insight.
The predicted salary is between 36000 - 60000 £ per year.
A high-growth marketplace platform in Greater London is seeking a commercially-minded Data & Insight Analyst. This role involves uncovering consumer behavior insights, developing high-quality data models, and leveraging AI tools to drive productivity.
The ideal candidate will have strong SQL and Python skills, along with a proven track record of translating complex data into actionable insights that drive business growth. A background in e-commerce is preferred.
Join the Central Insight & Analytics team and make a tangible impact.
Data & Insight Analyst: Grow Revenue with AI & Analytics in London employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Insight Analyst: Grow Revenue with AI & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in e-commerce or analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. Use real-world data to demonstrate how you’ve turned complex insights into actionable strategies that drive growth.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you’ve used AI tools to enhance productivity and what insights you’ve uncovered from consumer behaviour.
✨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 Data & Insight Analyst: Grow Revenue with AI & Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools to turn complex data into insights that drive growth, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience in e-commerce and how it relates to the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the Data & Insight Analyst role.
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’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Explore Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to derive insights or solve problems. This will show that you can hit the ground running!
✨Understand Consumer Behaviour
Familiarise yourself with common consumer behaviour patterns, especially in e-commerce. Prepare examples of how you've previously uncovered insights that led to business growth. This will demonstrate your commercial mindset and relevance to the role.
✨Showcase Your Analytical Thinking
Be prepared to walk through your thought process when tackling complex data sets. Think of a time when you turned raw data into actionable insights and be ready to explain how that impacted the business. This will highlight your analytical skills and problem-solving abilities.
✨Engage with AI Tools
Since the role involves leveraging AI tools, do some research on the latest trends and technologies in AI analytics. Bring up any relevant experience you have with these tools during the interview to show your enthusiasm and readiness to innovate.