DESCRIPTION Amazon's expanding Logistics products and services (e.g. Amazon Logistics, Global Specialty Fulfillment, and Last Mile Technology) are creating new customer segments, including drivers, recipients, shippers, property managers, global sellers and storage owners. Shipping & Delivery Support (SDS) is a customer service organization dedicated to providing support for these new customer segments.
The SDS organization is looking for a talented, motivated, self-directed Business Intelligence Engineer to join our Quality Analytics team. As a Business Intelligence Engineer for Quality Analytics, you will generate insights that will guide operational excellence and product development for our customers and internal stakeholders.
Data analysis is at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering insights from customers and operations teams, mining data, making recommendations, and helping leaders across our organization make key business decisions. You will have the opportunity to work with a large and complex data warehouse to gather insights using data from across Amazon. These efforts will change the way we support our internal operations teams and ultimately will lead to developing solutions to delight customers, and solve logistical challenges at an Amazon scale.
We are looking for someone with a broad technical background in data analytics, strong business acumen and ownership, with a passion for improving the customer experience. A successful candidate will have the ability to adjust the level of technical detail in their communications based on the stakeholder, from peers to senior management. They will have an ability to make data-driven conclusions and will be comfortable with ambiguity while working in a fast-paced dynamic environment. The candidate will also need to be a collaborator who can work with multiple internal teams to define and implement solutions that will yield benefits to Amazon customers around the world.
Key job responsibilities
Build a data structure and reporting process by working through various business parameters, which establish truth in data.
Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions.
Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation).
Update existing and create new metrics and reporting that help drive business conclusions, continually improving reporting and analysis processes.
Be able to effectively communicate findings and build reporting for an audience with limited technical background.
Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders.
Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
We are open to hiring candidates to work out of one of the following locations:
Nashville, TN, USA | Seattle, WA, USA BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
