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Business Analyst, Seller Compliance
il y a 3 semaines
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)
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.
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.
- Experience using very large datasets
