Amazon.com Services LLC
E-Commerce
BusinessIntelligenceEngineer,AdSalesFinanceAnalytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer, Ad Sales Finance Analytics at Amazon.com Services LLC. Skills: Data engineering, Business intelligence, Machine learning. Design, build, and maintain scalable data pipelines. Develop and optimize ETL processes”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years of experience in data engineering or related field, Bachelor's degree in Computer Science, Engineering, Math, or related field, Proficiency in SQL, Experience with Python or Java
Nice to Have
Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with large-scale data processing systems, Experience with machine learning frameworks, Experience with BI tools
What You'll Do.
and maintain scalable data pipelines
Develop and optimize ETL processes
Build and manage data warehouses
Develop and implement data models
Create and maintain BI dashboards and reports
Perform data analysis to identify trends and insights
Collaborate with stakeholders to understand data needs
Develop and deploy machine learning models
Ensure data quality and integrity
Troubleshoot and resolve data-related issues
Stay up-to-date with new data technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job Description
Amazon seeks a business intelligence engineer to be a key partner for the Amazon IX Advertising Sales business, with a range of products offerings for advertisers. We’re looking for a top technical and analytical mind capable of extracting value out of our large and disparate data sets. You will influence the direction of the business by leveraging our data to deliver insights that drive decisions, evolution of our products and the way they fit into Amazon's ecosystem. Additionally, you’ll help streamline and simplify the metric reporting needs for our operating cadences such as daily, weekly and monthly business reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to working with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and the ability to thrive in a fast-paced, dynamic environment. Key job responsibilities Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions - Own the forecasting model for IX countries and enhance the existing model to align with sales calls while minimizing forecasting errors. - Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future - Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team - Design and influence operational best practices for reporting and analytics to enable the team to scale - Prepare and deliver business reviews to the senior management team regarding progress and roadblocks - Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points - Enable effective decision making by retrieving and aggregating
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