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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 for sellers.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant company culture.
- Why this job: Be part of a mission-driven team that safeguards customers and empowers businesses to thrive.
- Qualifications: 1 year of BA experience, advanced SQL skills, and proficiency in data visualisation tools required.
- Other info: Diverse and inclusive workplace with opportunities for growth and development.
The predicted salary is between 28800 - 43200 £ per year.
*This role requires 1 year of experience in BA and advanced SQL skills*
The WW Seller Partner Trust & Compliance (SPTC) vision is to enable every brand ranging from small businesses to the large multi-national corporations to be able 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 providing scalable 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 (AWS and other) developed advanced 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 therefore enjoy discovering and solving complicated problems, and is self-motivated to organize, document, and communicate their work effectively.
The following technical experience will be of importance in this role, namely the ability to work comfortably using SQL, BI Tools (e.g. Quicksight/Tableau/PowerBI), and scripting languages (e.g. Python). Additionally, experience with designing data schemas for specific reporting use cases will be very valuable in this role.
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 consider 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 location, and, culture.
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 Excel
– 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you\’re applying in isn\’t listed, please contact your Recruiting Partner.
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Business Analyst, Seller Compliance - Data Engineering & Analytics employer: Amazon UK
Contact Detail:
Amazon UK 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, such as AWS and real-time data processing tools. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills by working on complex queries and data manipulation tasks. Consider creating a portfolio of SQL projects that demonstrate your ability to extract insights from large datasets, as this will be crucial for the role.
✨Tip Number 3
Practice translating technical problems into simple, understandable terms. This skill is essential for effective communication with stakeholders, so try explaining complex data scenarios to friends or family who may not have a technical background.
✨Tip Number 4
Network with professionals in the field of business analysis and data engineering. Attend relevant meetups or webinars to learn about industry trends and make connections that could help you during the application process.
We think you need these skills to ace Business Analyst, Seller Compliance - Data Engineering & Analytics
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your one year of experience as a Business Analyst. Detail specific projects or tasks where you utilised SQL and data analysis skills, showcasing how they relate to the job description.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Excel, and data visualisation tools like Tableau or Quicksight. Provide examples of how you've used these tools to solve complex problems or improve processes.
Communicate Effectively: Demonstrate your communication skills by writing clearly and concisely. Use simple language to explain any technical concepts, ensuring that your application is accessible to a broad audience.
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the role. Mention your ability to work independently, manage time effectively, and earn trust among diverse stakeholders, as highlighted in the job description.
How to prepare for a job interview at Amazon UK
✨Showcase Your SQL Skills
Since advanced SQL skills are a must for this role, be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written and be ready to explain how they solved specific business problems.
✨Demonstrate Data Visualisation Expertise
Familiarity with BI tools like Tableau or Quicksight is crucial. Prepare to showcase any dashboards or reports you've created, and explain the thought process behind your design choices and how they impacted decision-making.
✨Communicate Clearly and Effectively
You’ll need to translate complex technical issues into simple terms. Practice explaining your past projects and findings in a way that anyone can understand, regardless of their technical background.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios where you’ll need to demonstrate your analytical thinking. Think about past challenges you've faced, how you approached them, and the outcomes. This will show your ability to troubleshoot and adapt.
