Sr. Business Intelligence Engineer, Paid Service Central Team
Amazon
3 days ago
Full-time
On-site
Shanghai, China
CN Paid Services supports CN Selling Partners (SPs) with account management and enhances SPX via a suite of unified offerings across US/EU/JP marketplaces. Our vision is to be the preferred choice for CN Sellers during their Amazon journey to expand their businesses globally.
Business Intelligence and Analytics of Paid Services Central PMO team drive strategic CN SAS program success through data-powered operational planning, cross-orgs reviews, and resource optimization. Our mission is to deliver actionable data insights and innovative program solutions by leveraging advanced analytics and AI capabilities. We serve as strategic partners to Program Managers, diving deep into program opportunities and driving 0-to-1 innovations through data-driven insights. Additionally, we own the design and deployment of sophisticated data dashboards that empower Account Managers to provide data-informed consultancy to Sellers, helping them identify business opportunities, develop strategies, and mitigate risks in their growth journey. We are also anxiety to share CN SAS best practice to WWGS scaling successful solutions.
Key job responsibilities
We expect this Sr. BIE role lead the transformations on SAS applicable data infrastructure and analytics capabilities to enable AI-driven decision making, build the standardized data foundation, design data solution to deliver automated insights for program innovations and AM data tools.
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field, or 5+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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 you’re applying in isn’t listed, please contact your Recruiting Partner.
Business Intelligence and Analytics of Paid Services Central PMO team drive strategic CN SAS program success through data-powered operational planning, cross-orgs reviews, and resource optimization. Our mission is to deliver actionable data insights and innovative program solutions by leveraging advanced analytics and AI capabilities. We serve as strategic partners to Program Managers, diving deep into program opportunities and driving 0-to-1 innovations through data-driven insights. Additionally, we own the design and deployment of sophisticated data dashboards that empower Account Managers to provide data-informed consultancy to Sellers, helping them identify business opportunities, develop strategies, and mitigate risks in their growth journey. We are also anxiety to share CN SAS best practice to WWGS scaling successful solutions.
Key job responsibilities
We expect this Sr. BIE role lead the transformations on SAS applicable data infrastructure and analytics capabilities to enable AI-driven decision making, build the standardized data foundation, design data solution to deliver automated insights for program innovations and AM data tools.
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field, or 5+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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 you’re applying in isn’t listed, please contact your Recruiting Partner.