Business Intelligence Analyst, Payments Acceptance & Experience
Business Intelligence Analyst, Payments Acceptance & Experience
Posted on :
16-06-2025
Employer Active
1 Vacancy
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Job Description
The Amazon Payments Acceptance & Experience Team is responsible for how Amazons customers pay on Amazons sites and through Amazons services around the globe. You will work with the biggest players in the payments industry to deliver best-in-class customer payment experiences while driving change in the industry.
As a Business Intelligence Analyst youre supporting the team to identify opportunities to improve paying experience in the EU. You analyze payments data customers preferences and payments partners data to drive decisions. You also build reports and mechanisms that help the team scale at the regional level through self-service tools. Finally you engage with other analytics team to define models that contribute to refining business decisions.
The role can be available in locations across Europe including London Paris Madrid Milan and Munich.
Key job responsibilities
- Gather data and perform ad-hoc analytical exercises to generate actionable insights and improve customer payment experience in Europe.
- Employ data mining segmentation and other analytical techniques to capture important trends and create relevant measurement dashboards (from internal data or external data).
- Proactively work directly with business team to conduct deep dives and drive resolution.
- Drive standardization build tools and dashboards that the team can access self-service.
- Develop models to forecast adoption growth or profitability of some projects.
- Suggest test methodologies to confirm hypothesis before investment decisions.
- Advanced SQL Python avanced Excel like Power Queries and knowledge of hypothesis testing are required.
- Advanced SQL Python advanced Excel like Power Queries and knowledge of hypothesis testing and data visualisation tools are required.
- Ability to develop models to forecast adoption growth or profitability of some projects.
- Data mining segmentation and other analytical techniques to capture important trends and create relevant measurement dashboards (from internal data or external data).
- Ability to proactively work directly with business team to conduct deep dives and drive resolution.
- Bachelors degree or equivalent
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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.
As a Business Intelligence Analyst youre supporting the team to identify opportunities to improve paying experience in the EU. You analyze payments data customers preferences and payments partners data to drive decisions. You also build reports and mechanisms that help the team scale at the regional level through self-service tools. Finally you engage with other analytics team to define models that contribute to refining business decisions.
The role can be available in locations across Europe including London Paris Madrid Milan and Munich.
Key job responsibilities
- Gather data and perform ad-hoc analytical exercises to generate actionable insights and improve customer payment experience in Europe.
- Employ data mining segmentation and other analytical techniques to capture important trends and create relevant measurement dashboards (from internal data or external data).
- Proactively work directly with business team to conduct deep dives and drive resolution.
- Drive standardization build tools and dashboards that the team can access self-service.
- Develop models to forecast adoption growth or profitability of some projects.
- Suggest test methodologies to confirm hypothesis before investment decisions.
- Advanced SQL Python avanced Excel like Power Queries and knowledge of hypothesis testing are required.
- Advanced SQL Python advanced Excel like Power Queries and knowledge of hypothesis testing and data visualisation tools are required.
- Ability to develop models to forecast adoption growth or profitability of some projects.
- Data mining segmentation and other analytical techniques to capture important trends and create relevant measurement dashboards (from internal data or external data).
- Ability to proactively work directly with business team to conduct deep dives and drive resolution.
- Bachelors degree or equivalent
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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