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For Companies At a Glance
- 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 opportunities, and the flexibility of remote work.
- 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 exciting 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 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.
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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
Make sure to showcase your experience with Amazon data, especially if you've worked with Amazon Seller Central or the Amazon sp-API. Highlight specific projects where you utilized these tools to drive insights.
✨Tip Number 2
Demonstrate your SQL skills by discussing complex queries you've written or optimized in previous roles. Be prepared to talk about how your SQL expertise has contributed to data analysis and reporting.
✨Tip Number 3
Since this role involves collaboration with cross-functional teams, think of examples where you've successfully worked with different departments. Emphasize your communication skills and ability to translate data insights into actionable strategies.
✨Tip Number 4
Familiarize yourself with the latest trends in e-commerce analytics. Being knowledgeable about current technologies and methodologies will show your passion for the industry and your commitment to supporting the company's growth.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and skills required for the Senior Data Analyst position. Familiarize yourself with Amazon data, SQL, and Python, as these are crucial for the role.
Tailor Your CV: Customize your CV to highlight relevant experience in e-commerce and data analysis. Emphasize your expertise with Amazon data and any projects where you've utilized SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and how your skills align with the company's goals. Mention specific examples of how you've contributed to growth in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any grammatical errors or typos, and ensure that all information is clear and concise.
How to prepare for a job interview at Parker B Associates
✨Showcase Your Amazon Expertise
Make sure to highlight your experience with Amazon data, whether it's through Seller Central or the sp-API. Be prepared to discuss specific projects where you've successfully utilized this expertise to drive results.
✨Demonstrate Your SQL Skills
Since SQL is a key requirement for this role, come ready to discuss your experience with writing and optimizing SQL scripts. You might even be asked to solve a problem on the spot, so brush up on your SQL knowledge beforehand.
✨Prepare for Data Analysis Scenarios
Expect to be presented with complex data sets during the interview. Practice interpreting trends and patterns, and be ready to explain your thought process clearly. This will showcase your analytical skills effectively.
✨Highlight Collaboration Experience
As the role involves working with cross-functional teams, share examples of how you've collaborated with others in previous positions. Emphasize your ability to communicate data-driven insights to non-technical stakeholders.
