Data Analytics Specialist

2 days ago

Bellevue, Washington, United States Amazon Full time

**Job Title:** Business Intelligence Engineer, Supply Chain Analytics, WW Engineering

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The Supply Chain Analytics team is seeking a creative business intelligence engineer with a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile.

You will have the opportunity to work with one of the largest and most complex warehouses in the world to gather insights using data from across Amazon. As a BIE, you should be an expert in the architecture of data warehouse solutions for the enterprise using multiple platforms.

Key job responsibilities:

  • Apply mining, quantitative analysis, and statistical models to understand how our customers interact with us and identify ways to improve the customer experience and meet our goals
  • Build scalable solutions and self-serve platforms that will provide insights to inform business decision making
  • Optimizing the performance of business-critical queries and dealing with ETL job-related issues
  • Gathering and understanding data requirements, working with the team to achieve high-quality data ingestion and building systems that can process, transform, and store the data in various relational and non-relational stores
  • Dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) with engineering teams and drive constructive technical discussions. Extracting and combining data from various heterogeneous data sources
  • Build and evaluate end-to-end designs for strengths and weaknesses (quality, scalability, latency, security, performance, data integrity, etc.)
  • Create interactive visual dashboards with Tableau and QuickSight
  • Write clear documentation, architecture documents, and create an engineering roadmap
  • Exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency

A day in the life as a Business Intelligence Engineer involves working with stakeholders across supply chain managers, start-up execution managers, and process engineers to understand their pain points in executing equipment upgrade projects they own. You will draft the capabilities required to solve their pain points, align them to the objectives, and develop a timeline to deliver solutions.

As a pivotal role in driving data-driven decision-making within our organization, you will lead the AMZL team's data and analytics initiatives, leveraging your expertise to extract valuable insights from complex supply chain data. Your work will directly impact the efficiency and effectiveness of our operations, enabling our leadership to make informed strategic decisions.

**Our Team**: Our team has a diverse background and skills. We trust each other and strive to make a positive impact. Our day-to-day job is to innovate and continuously look for opportunities to improve cost, performance, and our customers' experience.

**Required Skills and Qualifications**

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience writing complex SQL queries
  • Experience in Statistical Analysis packages such as R, SAS, and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

**Benefits**

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.

Estimated salary: $123,800/year - $185,000/year, based on location and qualifications.

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