Business Intelligence Analyst, Payments Acceptance & Experience

Amazon; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading company is seeking a Business Intelligence Analyst focusing on improving customer payment experiences across Europe. The role involves data analysis, report generation, and collaboration with various teams to enhance payment processes. Ideal candidates will possess advanced skills in SQL, Python, and data visualization techniques.

Qualifications

• Strong experience with SQL, Python, and Excel (Power Queries).
• Ability to develop models for forecasting and trend analysis.
• Experience in data mining and creating measurement dashboards.

Responsibilities

• Analyze payments data to improve user experience.
• Develop reports and self-service tools for team scalability.
• Engage with analytics teams to refine business decisions.

Skills

SQL

Python

Data mining

Segmentation

Data visualization

Hypothesis testing

Education

Bachelor's degree or equivalent

Job description

Business Intelligence Analyst, Payments Acceptance & Experience

Job ID: 2920500 | Amazon UK Services Ltd.

The Amazon Payments Acceptance & Experience Team is responsible for how Amazon’s customers pay on Amazon’s sites and through Amazon’s 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, you're 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.

BASIC QUALIFICATIONS

- 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.

PREFERRED QUALIFICATIONS

- Bachelor's degree or equivalent

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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