Business Intelligence Engineer II, Product & E-commerce Analytics
Share
Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Key job responsibilities
Analytics Development & Insights
Establish and track engagement metrics for digital products and e-commerce platforms
Analyze and extract relevant information from large and complicated data sets of structured and unstructured data to identify insights that influence business decisions and product roadmaps
Develop deep knowledge of a variety of data sources including customer transaction marketing inventory and digital data
Technical Execution & Automation
Design develop and maintain scaled automated and user-friendly systems reports and dashboards using QuickSight or similar tools
Collaborate with product and technical teams to consult develop and track KPIs and automate reporting/process solutions
Perform data infrastructure improvements to meet team needs
Design and implement data models and ETL/ELT processes using AWS services including S3 and Redshift
Optimize performance and usability of analytics products with expert-level SQL skills
Ensure data quality integrity and consistency across analytical outputs
Product Development Support
Support product teams throughout the development lifecycle to define success metrics and measurement approaches
Implement measurement frameworks for new products and features
Lead requirements gathering sessions with product teams and business stakeholders
Maintain analytics documentation and knowledge base for product initiatives
Collaboration & Communication
Translate complex analytical findings into actionable business recommendations for stakeholders and senior management
Partner with cross-functional teams including Product Management E-commerce Operations Marketing Analytics and Technology
Lead projects independently with minimal supervision
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 3 years of developing automated reporting experience
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 1 years of processing large multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 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
- Experience working as a BIE in a technology company
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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 for more information. If the country/region youre applying in isnt 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 TX Austin - 99500.00 - 160000.00 USD annually
USA WA Seattle - 99500.00 - 160000.00 USD annually
Required Experience:
IC
Key Skills
- Digital Marketing
- Marketing
- Google Analytics
- Growing Experience
- Conversion Optimization
- Google AdWords
- Hybris
- Magento
- Account Management
- SEO
- E-Commerce
- Analytics
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
