Business Analyst, Marketplace Fulfillment Network

Job description

DESCRIPTION

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 40% of the total Amazon.com sales and each year, tens of thousands of businesses join the marketplace adding millions of new products.
The MFN fulfillment team is seeking a Business Analyst to provide strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of MFN/MFN Prime Business. The candidate should have expertise in designing and implementing operating stable/ scalable data warehouse infrastructure and build dynamic visualization platform for end-user consumption. 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 superior analytical, data warehousing and communication skills.

Desired profile

BASIC QUALIFICATIONS

Key Responsibilities
1. Interfacing with business customers, gathering requirements and developing complex analytics model and datasets for deep dive.
2. Identifying the data quality issues across the various platforms at Amazon. Extracting and combining data from various heterogeneous data sources.
3. Design and build data visualization tools to provide scalable solution for self-service metrics reporting.
4. Partnering with other analysts and engineers to build analytical solutions to deliver on business goals.
5. 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.
6. Build statistical models and ML based algorithms to perform insight analysis and help in decision making.

Qualifications
1. Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
2. 3+ years of relevant experience in one of the following areas: Business intelligence, Business analytics or Data engineering.
3. 3+ years of experience in writing complex, highly-optimized SQL queries across large data sets. Demonstrated strength in data modeling, ETL development, and Data warehousing.
4. 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.
5. Experience with data Visualization Tools including Tableau, Quick sight and etc.
Experience with AWS services including S3, Redshift, EMR and RDS.