Amazon’s Marketplace services over 2 million Sellers disrupting traditional notions of retail marketplace and connecting millions of businesses, big and small, to millions of Customers within the Amazon.
com marketplace. The Marketplace business exceeds 50% of the total Amazon.com sales and each year, tens of thousands of businesses join the marketplace adding millions of new products.
The Seller Fulfillment Services (SFS) team is seeking a experienced Business Analyst to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.
The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform for end-user consumption.
Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with.
Moreover, the candidate should have ability in using advanced techniques, for example scripting language and building statistical models, to drive complex insights analysis.
Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics.
To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.
Key job responsibilities
Interfacing with business customers, gathering requirements and developing complex analytics model and data-sets for deep dive
Identifying the data quality issues across the various platforms at Amazon
Extracting and combining data from various heterogeneous data sources
Design and build data visualization tools to provide scalable solution for self-service metrics reporting
Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
Propose and implement new business metrics for senior management reviews and work with the data engineer to design and develop data infrastructure to support these metrics for business growth
Build statistical models and Machine Learning based algorithms to perform insight analysis and help in decision making
BASIC QUALIFICATIONS
- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree or equivalent
- Experience with SQL
- Experience defining requirements and using data and metrics to draw business insights
PREFERRED QUALIFICATIONS
- Experience working with ambiguous business problems and defining an analytical solution to address those
- Experience with AWS services including S3, Redshift, EMR and RDS
- Experience in scripting language including R, Python and etc. Understand and have the knowledge to utilize various statistical models for insight analysis, trend prediction and etc.
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