Business Intelligence Analyst, Payments Acceptance & Experience

Redefined Ltd; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company is seeking a Business Intelligence Analyst to enhance the payment experience across Europe. The role involves extensive data analysis, dashboard creation, and collaboration with business teams to drive decisions. Ideal candidates will possess strong skills in SQL, Python, and data visualization tools, with a bachelor's degree preferred.

Qualifications

• Advanced SQL, Python, and advanced Excel required.
• Experience with data mining and analytical techniques.
• Proven ability to work with business teams on data resolution.

Responsibilities

• Gather data and perform ad-hoc analytical exercises.
• Build tools and dashboards for self-service access.
• Develop models to forecast projects' growth or profitability.

Skills

SQL

Python

Data mining

Segmentation

Hypothesis testing

Data visualization

Education

Bachelor's degree or equivalent

Job description

DESCRIPTION

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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