
Strategic Data Insights Specialist
5 days ago
Are you interested in diving deep into the world of data analysis and engineering metrics models to drive continuous improvement for a retail business Do you have solid problem-solving abilities, metrics-driven decision making, and want to solve problems with solutions that meet the growing demand for products Then this is the role for you. We are part of building the world's best, most reliable, and most feature-rich e-commerce platform that provides customers the best experience possible and are looking for a top-notch Business Intelligence Engineer.
In this role, we build systems that span the full range of e-commerce functionality, from privacy and purchase experience to shipping and financial integration. This team manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history, and post-fulfillment actions such as refunds and tax invoices. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to customers.
We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for critical systems that enable the entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.
Key Responsibilities:
- Defining, developing, and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
- Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
- Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
- Identifying data needs and driving data quality improvement projects.
- Thought leadership on data mining and analysis.
Basic Qualifications:
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field
Preferred Qualifications:
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets
Our Culture: We believe in empowering 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, please visit for more information.
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