Business Analyst, Seller Compliance - Data Engineering & Analytics
DESCRIPTION
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 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 (AWS and other) 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 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 a BI role with a technology company or financial institution
- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
- Experience writing business requirements documents, functional specifications, and use cases
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
PREFERRED QUALIFICATIONS
- Experience using very large datasets
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.
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.