Business/ Data Analyst, Selling Partner Support Impact Measurement
Business/ Data Analyst, Selling Partner Support Impact Measurement
Posted on :
05-05-2025
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1 Vacancy
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Job Description
Amazons Selling Partner Support Impact Measurement team is seeking an experienced Business Analyst (BA) who will be a key contributor developing robust measurement mechanisms and insights for products that directly impact sellers experiences on Amazon. If you are a selfstarter who thrives in a fastpaced and everchanging environment with a scientific mindset then you are the right candidate for our team.
Join us in the Central Impact Measurement team of Amazons Selling Partner (SP) Support Org and become part of a global team that is redefining the future of ecommerce. With access to vast amounts of data scientific expertise and a diverse community of talented individuals you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together we will drive innovation solve complex problems and shape the future of ecommerce.
In this role you will join the Selling Partner Support Partner Engagement org. You will help in developing and implementing causal inference mechanisms data frameworks and interactive dashboards and visualizations to drive datadriven decisionmaking across the organization. You will support the Global Process management team the Root Cause Owning teams and One Amazon Support teams. measuring initiatives implemented for various metrics and be instrumental in reporting on these initiatives.
About the team
Impact Measurement team within SP Support Partner Engagement space is responsible for measuring the causal impact of programs aimed at improving SP experiences with a primary focus on contact elimination Average Case Handle Time (ACHT) case reopen rates and other critical operational metrics. We implement advanced causal inference methodologies particularly synthetic control methods to enable datadriven decision making in contexts where traditional A/B experimentation is not feasible. Our team serves as the scientific backbone for evaluating program effectiveness across the organization ensuring that business decisions are founded on rigorous statistically valid evidence rather than correlational observations. Our customers include SPSupport Program and Product owners Vendor support One Amazon Support as well as 50 upstream root cause owning teams.
Key job responsibilities
1. Use and contribute to causal inference methods to measure impact.
2. Contribute to scalable robust codebase for measurements.
3. Create effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.
4. Conduct driver analysis and develop time series models to forecast trends in metrics..
5. Provide training and support to business users ensuring effective adoption and utilization of BI solutions.
6. Communicate data clearly and concisely adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions.
About the team
Impact Measurement team within SP Support Partner Engagement space is responsible for measuring the causal impact of programs aimed at improving SP experiences with a primary focus on contact elimination Average Case Handle Time (ACHT) case reopen rates and other critical operational metrics. We implement advanced causal inference methodologies particularly synthetic control methods to enable datadriven decision making in contexts where traditional A/B experimentation is not feasible. Our team serves as the scientific backbone for evaluating program effectiveness across the organization ensuring that business decisions are founded on rigorous statistically valid evidence rather than correlational observations. Our customers include SPSupport Program and Product owners Vendor support One Amazon Support as well as 50 upstream root cause owning teams.
3 years of business analyst data analyst or similar role experience
5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
Experience defining requirements and using data and metrics to draw business insights
Experience making business recommendations and influencing stakeholders
Experience with Experiment design and observational Causal inference models
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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
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.
Join us in the Central Impact Measurement team of Amazons Selling Partner (SP) Support Org and become part of a global team that is redefining the future of ecommerce. With access to vast amounts of data scientific expertise and a diverse community of talented individuals you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together we will drive innovation solve complex problems and shape the future of ecommerce.
In this role you will join the Selling Partner Support Partner Engagement org. You will help in developing and implementing causal inference mechanisms data frameworks and interactive dashboards and visualizations to drive datadriven decisionmaking across the organization. You will support the Global Process management team the Root Cause Owning teams and One Amazon Support teams. measuring initiatives implemented for various metrics and be instrumental in reporting on these initiatives.
About the team
Impact Measurement team within SP Support Partner Engagement space is responsible for measuring the causal impact of programs aimed at improving SP experiences with a primary focus on contact elimination Average Case Handle Time (ACHT) case reopen rates and other critical operational metrics. We implement advanced causal inference methodologies particularly synthetic control methods to enable datadriven decision making in contexts where traditional A/B experimentation is not feasible. Our team serves as the scientific backbone for evaluating program effectiveness across the organization ensuring that business decisions are founded on rigorous statistically valid evidence rather than correlational observations. Our customers include SPSupport Program and Product owners Vendor support One Amazon Support as well as 50 upstream root cause owning teams.
Key job responsibilities
1. Use and contribute to causal inference methods to measure impact.
2. Contribute to scalable robust codebase for measurements.
3. Create effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.
4. Conduct driver analysis and develop time series models to forecast trends in metrics..
5. Provide training and support to business users ensuring effective adoption and utilization of BI solutions.
6. Communicate data clearly and concisely adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions.
About the team
Impact Measurement team within SP Support Partner Engagement space is responsible for measuring the causal impact of programs aimed at improving SP experiences with a primary focus on contact elimination Average Case Handle Time (ACHT) case reopen rates and other critical operational metrics. We implement advanced causal inference methodologies particularly synthetic control methods to enable datadriven decision making in contexts where traditional A/B experimentation is not feasible. Our team serves as the scientific backbone for evaluating program effectiveness across the organization ensuring that business decisions are founded on rigorous statistically valid evidence rather than correlational observations. Our customers include SPSupport Program and Product owners Vendor support One Amazon Support as well as 50 upstream root cause owning teams.
3 years of business analyst data analyst or similar role experience
5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
Experience defining requirements and using data and metrics to draw business insights
Experience making business recommendations and influencing stakeholders
Experience with Experiment design and observational Causal inference models
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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
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.
Required Experience:
IC
Employment Type
Full-Time
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