Business Intelligence Engineer, Selling Partner Insights and Analytics
Business Intelligence Engineer, Selling Partner Insights and Analytics
Posted on :
23-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
We are seeking an exceptional Business Intelligence Engineer to drive data-informed decision-making across our organization. This role combines technical expertise with business acumen to transform complex data into actionable insights with a specific focus on Seller Performance Support metrics and experiences.
Key job responsibilities
Subject Matter Expert of SP Support experience metrics.
monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.
driver analysis and develop time series models to forecast trends in metrics.
develop manage and execute analyses to uncover opportunities providing written recommendations.
initiatives for Seller Experience through A/B testing or non-causal analysis methods.
advanced SQL/Python skills for business decision-support analysis.
with Product Managers and the Science team to ensure alignment between Insight and Science used.
training and support to business users ensuring effective adoption and utilization of BI solutions.
data clearly and concisely adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions.
an expert in your field to promote work-life balance. Be a positive collaborative influence on new team members exemplifying operational excellence and efficiency.
About the team
Selling Partner Insights and Analytics team vision is to provide data and insights to accelerate stakeholders data-driven decisions enabling continuous improvement of the Selling Partner experience. Our mission aligns with this vision by making it easier and faster for our internal customers to use analytics to swiftly transform data into actionable insights. This team supports all programs where the data/analysis is needed for program teams Operations and stakeholders from the broader Selling Partner Support team.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 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 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 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Subject Matter Expert of SP Support experience metrics.
monitor data quality and optimize data flows to ensure efficient and reliable data delivery.
effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.
driver analysis and develop time series models to forecast trends in metrics.
develop manage and execute analyses to uncover opportunities providing written recommendations.
initiatives for Seller Experience through A/B testing or non-causal analysis methods.
advanced SQL/Python skills for business decision-support analysis.
with Product Managers and the Science team to ensure alignment between Insight and Science used.
training and support to business users ensuring effective adoption and utilization of BI solutions.
data clearly and concisely adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions.
an expert in your field to promote work-life balance. Be a positive collaborative influence on new team members exemplifying operational excellence and efficiency.
About the team
Selling Partner Insights and Analytics team vision is to provide data and insights to accelerate stakeholders data-driven decisions enabling continuous improvement of the Selling Partner experience. Our mission aligns with this vision by making it easier and faster for our internal customers to use analytics to swiftly transform data into actionable insights. This team supports all programs where the data/analysis is needed for program teams Operations and stakeholders from the broader Selling Partner Support team.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 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 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 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
