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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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