Business Intelligence Engineer

Job description

DESCRIPTION

Since 1995, Amazon has focused on being “the world's most customer centric company.” Our customers are worldwide, and include not just consumers, but also our sellers. World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. Over 2 million sellers offer new, used, and collectible selections to Amazon customers around the world. To meet our sellers' needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas.

Fulfillment by Amazon (FBA) is an Amazon service for our sellers. The FBA team partners with sellers and our Amazon fulfillment centers to create a seamless experience for sellers to leverage our world-class facilities. 71% of sellers who use FBA report more than a 20% increase in unit sales after joining FBA. In a very real way, we are changing lives with the work we do. Our FBA employees wake up every day thinking about how to enable our sellers to be successful on our platform. Enabling seller success allows us to provide Amazon customers with unparalleled selection and pricing. FBA is a win for sellers and a win for customers.

Fulfillment by Amazon (FBA) is looking for a highly analytic, curious, resourceful and experienced business intelligence engineer to perform statistical analysis on data from multiple sources, root cause issues through statistical testing and ANOVA/ANCOVA, develop statistical/predictive models, perform ad-hoc analysis, and partner with internal stakeholders to help drive the business.

Responsibilities
· Analyze and solve business problems at their root, stepping back to understand the broader context.
· Develop solutions that utilize the highest standards of analytical rigor and data integrity.
· Write high quality code to retrieve and analyze data.
· Seek opportunities to inject advanced analytical techniques into Fulfillment by Amazon's current environment.
· Partner across the business to implement optimal analyses that drive to the root of the issue and create actionable insights or paths to predictive modeling opportunities.
· Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

Desired profile

BASIC QUALIFICATIONS

MS in Math, Statistics or related field
Expertise in R,SAS, Python or other statistical programming language
Expertise in SQL and/or other relational databases
Excellent analysis and communication skills
3+ years of experience with data analysis and predictive modelingMS in Math, Statistics or related field
Expertise in R,SAS, Python or other statistical programming language
Expertise in SQL and/or other relational databases
Excellent analysis and communication skills
3+ years of experience with data analysis and predictive modeling