Data Analysis Engineer

Amazon in Seattle, WA

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • Compensation: $91,496.67 - 145,000.00 / Year*
position filled
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. Amazon is seeking a Data Analysis Engineer specialization in Data analysis using Excel, SQL, Python or Oracle, Red shift database, and Tableau of Warehouse operations for our World Wide Design & Innovation Engineering Team. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.
Responsibilities:
* Analyze, model and interpret data for Amazon warehouse operations
* Data analysis using Excel, Pivot tables, and perform predictive & Regression analysis (including Pivot Tables, dynamic dashboards, array functions, Power Pivots, VBA, etc)
* Querying using SQL, scripting using Python , Oracle, Kornshell from to extract data from various database sources such as
Redshift, Teradata, Netezza
* Data modeling using various data modeling tools and data visualization using Tableau
* Create effective data analysis reports and communicate with stakeholders
* Solve complex problem using high level of mathematical ability, methodical and logical approach with Accuracy and attention details
* Innovate and simplify data analysis process to standardize and improve
* Support Worldwide Engineering design teams by providing necessary data for design of process flows and selection of various MHE's
* Manage multiple data analysis projects and tasks simultaneously and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors.
* Support process improvement initiatives among site operations, engineering, and corporate systems groups by providing relevant data.
* Lead and coordinate data analysis efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow, process design, and site layout.
* Deliver results according to project schedules and quality
* Support to develop design solutions to the best-in-class process flow to improve the throughput of the fulfillment facilities
Basic Qualifications
* Bachelor's degree with 2+ years of experience or Master's Degree with 1+ years of experience in Engineering , Operations, Business Administration, or a related field with experience in the job offered or related occupation of Data Analysis , Business analysis or Industrial Engineer etc
* Proficiency in SQL and Excel (including Pivot Tables, dynamic dashboards, array functions, Power Pivots, VBA, etc)
* Experience in predictive & Regression analysis
* Experience using Python , Oracle, Kornshell , Redshift, Teradata, Netezza, Tableau
* Knowledge of complex MHE and packaging lines or process design based on Lean Manufacturing or Toyota Manufacturing System or warehouse operations
* Ability travel up to 30% of time to installation sites throughout the United States and
Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Associated topics: data analyst, data architect, data integration, data integrity, data warehousing, database administrator, etl, mongo database administrator, sql, teradata

* Estimated salary


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