Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead analytics strategies and interpret complex data to drive growth.
- Company: Join a dynamic E-commerce business focused on innovation and success.
- Benefits: Enjoy remote work flexibility and a competitive salary with bonuses.
- Why this job: Be part of a winning team that leverages cutting-edge tech for impactful results.
- Qualifications: Expertise in Amazon data, SQL, and experience in high-growth e-commerce environments required.
- Other info: This is a permanent position with opportunities for professional growth.
The predicted salary is between 42000 - 98000 £ per year.
Senior Data Analyst Remote Permanent Up to £70,000 + 10% Bonus 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 specification is provided upon request. Skills/ Experience Lead expertise Amazon data (Amazon Seller Central or Amazon sp-API or Amazon seller) SQL High growth/e-commerce environment If interested and for further information, please apply ASAP. Keywords – Amazon marketplace, ecommerce platform, ecommerce analyst, e-commerce analyst
Senior Data Analyst 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
✨Tip Number 1
Familiarize yourself with Amazon Seller Central and the sp-API. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your SQL skills by working on real-world data sets. Being able to showcase your ability to write complex queries can set you apart from other candidates.
✨Tip Number 3
Get comfortable with Python for data manipulation and visualization. Consider building a small project that highlights your skills, as this can be a great talking point during interviews.
✨Tip Number 4
Network with professionals in the e-commerce space. Engaging with others in the industry can provide insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Amazon data, SQL, and any relevant e-commerce projects. Use specific examples that demonstrate your analytical skills and successes in previous roles.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can drive success in an e-commerce environment. Mention your familiarity with tools like Python and your ability to collaborate with cross-functional teams.
Showcase Relevant Projects: If you have worked on projects involving data strategies or analytics in an e-commerce setting, be sure to include these in your application. Highlight the impact of your work and any technologies you used.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Parker B Associates
✨Show Your Passion for E-commerce
Make sure to express your enthusiasm for the e-commerce industry during the interview. Share examples of how you've contributed to growth in previous roles and discuss any innovative ideas you have for leveraging data in this space.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring specific examples of projects where you've used these tools to analyze data or create visualizations, as this will showcase your technical expertise.
✨Highlight Your Experience with Amazon Data
Since the role requires expertise in Amazon data, be ready to talk about your familiarity with Amazon Seller Central or the Amazon sp-API. Discuss any relevant projects or insights you've gained from working with these platforms.
✨Collaborate and Communicate
Emphasize your ability to work with cross-functional teams. Prepare to share examples of how you've successfully collaborated with others to implement data-driven products or features, as teamwork is crucial in this role.
