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- Tasks: Lead analytics strategies and analyze complex data sets to support growth.
- Company: Join a dynamic E-commerce business focused on innovation and success.
- Benefits: Enjoy a competitive salary, remote work flexibility, and a 10% bonus.
- 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 - 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
Showcase your experience with SQL and Python by preparing examples of past projects where you've used these skills. Be ready to discuss how you approached data manipulation and visualization.
✨Tip Number 3
Research the latest trends in e-commerce analytics. Being knowledgeable about current industry practices can set you apart and show that you're proactive about your professional development.
✨Tip Number 4
Network with professionals in the e-commerce space, especially those who work with data analytics. Engaging with others in the field can provide insights and potentially lead to referrals.
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 context, be sure to include these in your application. Highlight your role and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial for a Senior Data Analyst role.
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 relevant projects that showcase your passion for data analysis in this field.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring specific examples of how you've used these tools to manipulate, clean, and visualize data. If possible, mention any projects where you utilized Amazon Seller Central or sp-API.
✨Highlight Your Analytical Thinking
During the interview, emphasize your ability to identify trends and patterns within complex data sets. Prepare to discuss a time when your analytical skills led to actionable insights that benefited your team or company.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, be ready to talk about your collaboration experiences. Share how you effectively communicated data-driven insights to non-technical stakeholders and how you contributed to designing new products or features.
