Business Analyst, Seller Compliance - Data Engineering & Analytics

ENGINEERINGUK; London; On-site; GBP 60,000 - 80,000; Full time

Job description

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 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 looking for a highly analytical and result-oriented Business Analyst who can understand the business, process, 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 signals from the mountains of data. We expect 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.

The following technical experience will be of importance in this role: 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

1. 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.
2. Communication skills - ability to communicate (written and spoken) in the English language. Demonstrated ability to communicate complex technical problems in simple terms and provide useful updates about work to different audiences.
3. Automation of manual data processes, including data quality and validation.
4. Ability to effectively transform and aggregate data using optimized querying that appropriately considers scripting best practices and dependencies.
5. Reporting, visualization, custom calculations, and security settings in widely available reporting tools, such as Quicksight or Tableau.
6. Ability to translate ambiguous requests and business problems into tangible requirements and solutions.
7. Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical locations, and cultures.

BASIC QUALIFICATIONS

1. Bachelor's degree or equivalent
2. Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau
3. Experience defining requirements and using data and metrics to draw business insights
4. Experience making business recommendations and influencing stakeholders
5. Experience with SQL
6. Experience with Excel
7. Experience with data visualization using Tableau, Quicksight, or similar tools

PREFERRED QUALIFICATIONS

1. 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 our accommodations page for more information.