DESCRIPTION
Our vision is to be earth's most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online. In line with our vision, we support sellers to offer their selection on Amazon and fulfill out of their own warehouses (Merchant Fulfillment Network).
Position Summary & Responsibilities
We are seeking a strong business intelligence engineer who can surface key insights from data. You will contribute to the long-term vision for the team, conduct data analyses, identify high-impact opportunities for predictive analysis and business experimentation, improve data integrity, create metrics that fill knowledge gaps, model and visualize data patterns, support data reporting needs, and analyze the quantitative impact of business experiments and innovations. Additionally, this role will be instrumental in the continued development of a reliable and scalable infrastructure for ongoing analytics and reporting in order to deliver actionable insights to business leaders. As a business analyst you will work with program managers to communicate insights to key stakeholders. You will not only execute on the required skills but also be able to influence, educate, and drive results in a fast-paced, ambiguous environment.
Key responsibilities include:
- Design and implement reporting solutions enabling program and product managers to make effective decisions.
- Monitor existing metrics, develop and propose new metrics, and identify new, actionable insights.
- Develop, validate, and maintain recurring or ad hoc reports to ensure accurate up-to-date reporting using SQL, Excel and/or other scripting languages. Including conducting audits and building insightful visualizations using Tableau, QuickSight, etc.
- Basic understanding of statistical analysis, identifying trends and making recommendations based on data analysis.
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- 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 SQL
- Experience in the data/BI space- 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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (
https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youβre applying in isnβt listed, please contact your Recruiting Partner.
