Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazons eCommerce systems Do you have solid problem-solving abilities metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazons products Then eCommerce Services is the team for you. We are part of building the worlds best most reliable and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Manager.
In eCommerce Services (eCS) we build systems that span the full range of eCommerce functionality from Privacy Identity Purchase Experience and Ordering to Shipping Tax and Financial integration. eCommerce Services 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. eCS services determine sales tax and shipping charges and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure available performant and reliable shopping experience to Amazons customers.
We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a BI Manager. The ideal candidate will be an analytical results-oriented self-motivated and customer-focused who will play a key role in continuous improvement for the critical systems that enable our 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 job responsibilities
1. Managing a team of 8-10 BIEs/DE dedicated to specific domain within eCS
2. Managing stakeholders within the eCS domain understanding their long and short term goals and planning team bandwidth accordingly
3. Setting up strong team processes to manage long term projects vs short term asks
4. Identifying areas of opportunities within the team and writing proposals and goals to propose and execute them
- 7 years of business intelligence and analytics experience
- 5 years of delivering results managing a business intelligence or analytics team including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with R Python Weka SAS Matlab or other statistical/machine learning software
- Bachelors degree or equivalent in a related field
- 4 years of working with very large data warehousing environment experience
- 10 years of data warehouse technical architectures data modeling infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures and hands-on SQL coding experience
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