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- Tasks: Lead analytics strategies and uncover insights from complex data sets.
- Company: Join a fast-growing E-commerce business with a focus on innovation.
- Benefits: Up to £70,000 salary, 10% bonus, and remote work flexibility.
- Why this job: Make an impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Expertise in Amazon data, SQL, and experience in high-growth e-commerce.
- Other info: Collaborate with diverse teams to create exciting new products.
The predicted salary is between 42000 - 84000 £ per year.
Our client is an E-commerce business looking for a Senior Data Analyst to join permanently.
Are you interested in supporting the company's growth with new tech? Do you have a passion for winning and success?
Responsibilities:- Lead the development of analytics and data strategies utilising Amazon.
- Identify, analyse, and interpret trends or patterns within complex data sets.
- Develop and maintain SQL scripts for data analysis and reporting purposes.
- Utilize Python for data manipulation, cleaning, and visualization.
- Collaborate with cross-functional teams to design and implement new data-driven products and features.
The full job spec is provided upon request.
Skills/Experience:- Lead expertise
- Amazon data (Amazon Seller Central or Amazon sp-API)
- SQL
- High growth/e-commerce environment
If interested and for further information, please apply ASAP.
Senior Data Analyst in London employer: Parker B Associates
Contact Detail:
Parker B Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the e-commerce and data analytics space. Use LinkedIn to connect with current employees at the company you're eyeing. A friendly chat can sometimes open doors that applications can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL scripts, Python projects, or any data visualisations you've created. When you get the chance to chat with hiring managers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Be ready for the interview! Research the company’s use of data, especially around Amazon Seller Central. Think about how you can contribute to their growth and be prepared to discuss specific strategies or insights you could bring to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t hesitate – the sooner you apply, the better!
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Amazon data and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data analysis and how you can contribute to our growth. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Since this role involves SQL and Python, make sure to mention specific projects where you’ve used these tools. We’re keen to see how you’ve tackled data challenges in the past!
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 updates from our team!
How to prepare for a job interview at Parker B Associates
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and technologies mentioned in the job description, especially SQL and Python. Brush up on your skills by working on sample datasets or projects that showcase your ability to analyse and interpret complex data sets.
✨Familiarise Yourself with Amazon Data
Since the role involves working with Amazon data, take some time to understand how Amazon Seller Central and the sp-API work. Being able to discuss specific examples of how you've used these tools in the past will definitely impress your interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Think about past experiences where you identified trends or patterns in data and be ready to explain your thought process and the impact of your findings.
✨Show Your Collaborative Spirit
This role requires working with cross-functional teams, so be prepared to discuss how you’ve successfully collaborated with others in previous roles. Highlight any projects where teamwork led to successful data-driven products or features.
