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- Tasks: Analyse data, troubleshoot issues, and automate processes to support seller compliance.
- Company: Join Amazon, a global leader in e-commerce, dedicated to trust and compliance.
- Benefits: Enjoy flexible work options, diverse culture, and opportunities for growth.
- Why this job: Be part of a mission-driven team that safeguards customers and empowers sellers.
- Qualifications: Bachelor's degree, Excel expertise, SQL knowledge, and experience with data visualisation tools required.
- Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
The WW Seller Partner Trust & Compliance (SPTC) vision is to enable every brand ranging from small businesses to large multi-national corporations to thrive and grow into a global selling success in a safe and compliant online marketplace.
Our mission is to enable the long-term success of our selling partners by providing the most trusted shopping and selling experience and by offering powerful solutions for accelerating our selling partners\’ business growth.
We are entrusted with preventing fraud and abuse, as well as safeguarding all our customers. We deliver at massive scale through technology, science, and expert human judgment while continuing to think even bigger about the future. We are therefore looking for a highly analytical and result-oriented Business Analyst who can understand the business, process and analyze data from a variety of sources, and troubleshoot ad hoc issues while following the team\’s best practices.
We utilize multiple externally and internally developed cutting-edge data platforms, including real-time and close to real-time platforms, to help create signal out of the mountains of data. We are therefore expecting our team members to help raise the technical bar by providing data wrangling expertise, deep understanding of data fundamentals, and the eagerness and ability to quickly adapt to new tools. The ideal candidate should enjoy discovering and solving complicated problems and be self-motivated to organize, document, and communicate their work effectively.
Key job responsibilities
- Organization skills – demonstrated ability to work independently to make complex investigations, have self-discipline and motivation, follow best practices, document work, show diligence and appropriate time management.
- Communication skills – ability to communicate (written and spoken) in the English language. Demonstrated ability to communicate complex technical problems in simple plain stories. Provide useful updates about work accustomed to different audiences.
- Automation of manual data processes, including data quality and validation.
- Ability to effectively transform and aggregate data using optimized querying that appropriately considers scripting best practices and dependencies.
- Reporting, visualization, custom calculations, and security setting in widely available reporting tools, for instance, Quicksight or Tableau.
- Ability to translate ambiguous requests and business problems into tangible requirements and solutions.
- Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical locations, and cultures.
BASIC QUALIFICATIONS
- Bachelor\’s degree or equivalent
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
PREFERRED QUALIFICATIONS
- Experience in financial/business analysis
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use, and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you\’re applying in isn\’t listed, please contact your Recruiting Partner.
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Contact Detail:
ACCA Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst, Seller Compliance - Data Engineering & Analytics
✨Tip Number 1
Familiarise yourself with the specific data platforms mentioned in the job description, like Tableau and Quicksight. Having hands-on experience or even completing a project using these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills, as this is crucial for the role. Consider working on real-world datasets to practice writing complex queries that can help you demonstrate your analytical capabilities during interviews.
✨Tip Number 3
Develop your communication skills by practising how to explain complex data insights in simple terms. You might want to create a portfolio of case studies where you've successfully communicated technical problems to non-technical stakeholders.
✨Tip Number 4
Showcase your organisational skills by managing a small project or analysis from start to finish. Document your process and results clearly, as this will demonstrate your ability to follow best practices and manage time effectively.
We think you need these skills to ace Business Analyst, Seller Compliance - Data Engineering & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your analytical abilities, data handling expertise, and any experience with tools like Excel, SQL, and Tableau.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can drive business success. Mention specific examples of how you've solved complex problems or improved processes in previous roles.
Showcase Communication Skills: Since communication is key for this role, provide examples in your application that demonstrate your ability to convey complex information clearly. This could be through past projects or presentations you've delivered.
Highlight Adaptability: Emphasise your eagerness to learn new tools and technologies. Mention any experiences where you quickly adapted to new systems or processes, showcasing your ability to thrive in a fast-paced environment.
How to prepare for a job interview at ACCA Careers
✨Showcase Your Analytical Skills
As a Business Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used data to solve problems or make decisions in the past. Highlight your experience with tools like SQL and Excel, and be ready to demonstrate your proficiency.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex technical concepts in simple terms. During the interview, focus on how you can tailor your communication style to different audiences, ensuring that everyone understands your insights and recommendations.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenging situations you've faced and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your critical thinking and problem-solving skills, which are essential for this position.
✨Familiarise Yourself with Data Visualisation Tools
Since the role involves using data visualisation tools like Tableau or Quicksight, ensure you're comfortable discussing your experience with these platforms. Bring examples of reports or dashboards you've created, and be ready to explain how they helped drive business decisions.
