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For Companies At a Glance
- Tasks: Lead analytics strategies and interpret 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 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: Full job specification available upon request; apply ASAP for more details.
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's data ecosystem, especially Seller Central and the sp-API. Understanding how to navigate and extract insights from these platforms will give you a significant edge during discussions.
✨Tip Number 2
Brush up on your SQL skills, focusing on complex queries and data manipulation techniques. Being able to demonstrate your proficiency in SQL during the interview can set you apart from other candidates.
✨Tip Number 3
Showcase your experience with Python, particularly in data cleaning and visualization. Prepare examples of past projects where you've successfully used Python to solve data-related challenges.
✨Tip Number 4
Highlight any previous experience in high-growth e-commerce environments. Discuss how you've contributed to data-driven decision-making processes that led to successful outcomes in your past roles.
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 e-commerce, be sure to include these in your application. Highlight your role and the impact of your work on business outcomes.
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 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 for data analysis, manipulation, or visualization, and be ready to explain your thought process.
✨Highlight Your Experience with Amazon Data
Since the role requires expertise in Amazon data, make sure to highlight any relevant experience you have with Amazon Seller Central or the Amazon sp-API. Discuss how you've utilized these platforms to drive insights and support business decisions.
✨Prepare for Behavioral Questions
Expect questions that assess your ability to collaborate with cross-functional teams. Prepare examples that showcase your teamwork skills and how you've successfully implemented data-driven products or features in past roles.
