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- Tasks: Lead analytics strategies and analyze complex data sets to drive growth.
- Company: Join a dynamic E-commerce business focused on innovation and success.
- Benefits: Enjoy a competitive salary, bonus, and the flexibility of remote work.
- Why this job: Be at the forefront of tech-driven growth in a fast-paced environment.
- Qualifications: Expertise in Amazon data, SQL, and experience in high-growth e-commerce.
- Other info: This is a permanent position with opportunities for professional development.
The predicted salary is between 42000 - 84000 £ 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 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Analyst position. Understand the key responsibilities and required skills, especially focusing on Amazon data expertise and SQL proficiency.
Tailor Your CV: Customize your CV to highlight relevant experience in e-commerce and data analysis. Emphasize your familiarity with Amazon Seller Central or related APIs, as well as your skills in SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your ability to drive growth in an e-commerce environment. Mention specific examples of how you've used data to influence business decisions.
Highlight Technical Skills: In your application, clearly outline your technical skills, particularly in SQL and Python. Provide examples of projects where you utilized these skills to solve complex data problems or create visualizations.
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.
