BIE II

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Over 2 million Sellers in 10 countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers’ needs, we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) Inbound analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization.

FBA Product Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail.

Major responsibilities
- Develop business metrics and analysis to inform product strategy and influence key strategic initiatives.
- Develop clear communications for recommended actions.
- Establish self-service automated reporting processes for tracking and diving deep into the data.
- Partner with data engineers to establish new data pipelines and document logic for business metrics.
- Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes.

About the team
Our benefits include:
- Work on high-impact, high-visibility projects that drive the experience for millions of customers.
- The opportunity to use and learn state-of-the-art data management solutions.
- Excellent opportunities, and ample support, for career growth, development, and mentor-ship.
- Competitive compensation, including relocation support.

BASIC QUALIFICATIONS

- Knowledge of SQL and data warehousing concepts
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries

PREFERRED QUALIFICATIONS

- Master's degree in sciences, engineering, finance or equivalent

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