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Data Insights Specialist

2 months ago

Bellevue, Washington, United States Amazon Services LLC Full time
About the Role

We are seeking a highly skilled Business Intelligence Analyst II to join our Fulfillment by Amazon (FBA) Inbound Analytics and Data Science team. As a key member of our team, you will play a critical role in optimizing our inbound supply chain by influencing the right tradeoffs among cost, speed, and network capacity utilization.

Key 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 the impact of product and policy decisions on business outcomes.
About the Team

Our team is responsible for driving the experience for millions of customers. We work on high-impact, high-visibility projects and have excellent opportunities for career growth, development, and mentorship.

Requirements
  • Knowledge of SQL and data warehousing concepts.
  • Bachelor's degree in Business Intelligence, Finance, Engineering, Statistics, Computer Science, Mathematics, or equivalent quantitative field.
  • Knowledge of advanced skills in Excel and data visualization tools like Tableau or similar Business Intelligence tools.
  • Experience developing and presenting recommendations of new metrics allowing better understanding of business performance.
  • 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.