Business Intelligence Engineer, Amazon Key

Overview

Amazon Key and Ring SMB solve for access and critical security challenges with simple, smart solutions. Customers have embraced Amazon Key to protect their deliveries. We are continuously improving and delighting our rapidly growing customer base.

• Support the organization's strategic business objectives, new product launches, process outcomes and decisions by analytical insights
• Collaborate with business leaders and users to optimize data-driven business processes
• Provide reliable, accurate, timely reporting for operations activities and leadership decision making
• Design and implement complex, scalable, and high-performance data pipelines and models
• Collaborate cross-functionally with technology teams, such as data engineers and Product Managers, to define and deliver BI solutions
• Build reports and dashboards using Amazon Quick Sight
• Use advanced analytics techniques, such as statistical analysis and predictive modeling, to uncover hidden patterns, trends and opportunities
• Implement AI-powered self-service analytics tools
• Identify, evaluate, and implement automation opportunities, incl. AI technology; continuously enhance analytics while reducing manual effort
• Represent the BI function in business reviews and provide data-driven recommendations to business and process leaders

Daily activities for this role will include meeting with business partners to clearly define objectives and requirements and then translating that into actionable technical solutions. It will also include the design, development, and deployment of those solutions.

Amazon Key and Ring SMB solve for access and critical security challenges with simple, smart solutions. We are a uniquely cross-functional org within Amazon, and often serve as the connective tissue between Smart Home/Devices, Logistics, Operations, and Retail/Shopping across global markets. Our team indexes highly on ownership, collaboration, and delivering results for our customers.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL etc. experience
• 1+ years of SQL, ETL or Oracle experience
• 1+ years of processing large, multi-dimensional datasets from multiple sources experience
• 1+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• 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
• Experience with AWS solutions such as EC2, Dynamo
  
  DB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .

USA, WA, Bellevue - 99,500. USD annually