Sr. Business Intelligence Engineer, WW Installments

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Sr. Business Intelligence Engineer to join their dynamic team in London. This role offers the chance to leverage your analytical skills and influence key business decisions by extracting insights from complex datasets. You will collaborate with various teams to develop scalable data solutions and enhance the customer experience in the FinTech space. If you are passionate about data and thrive in fast-paced environments, this opportunity is perfect for you!

Qualifications

• 7+ years of experience with data and analytics.
• Experience in programming for automation and ETL operations.
• Ability to define requirements for complex business questions.

Responsibilities

• Extract insights from large datasets using deep analytics.
• Engage stakeholders to convert business problems into data solutions.
• Collaborate with teams to deliver features and influence strategy.

Skills

Data Analysis

Python Programming

SQL

Data Visualization

Communication Skills

Statistical Computation

Education

Bachelor’s degree in Data Science

Master’s degree in Business or related field

Tools

QuickSight

Tableau

AWS EMR

AWS Redshift

AWS S3

Job description

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Sr. Business Intelligence Engineer, WW Installments, London

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Client:

Amazon Business EU SARL (UK) - H91

Location:

London, United Kingdom

Job Category:

-

EU work permit required:

Yes

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Job Reference:

098a3db64fb7

Job Views:

3

Posted:

26.04.2025

Expiry Date:

10.06.2025

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Job Description:

Come build the future of FinTech!

The WW Installments team within Amazon Payments (AP) brings together the best of analytics, machine learning, tech, business, and finance to deliver for customers across the world. We build foundational systems and products to enable Amazon customers with installment and related payment methods globally. Our mission is to delight customers by building trusted, valued, and easy-to-use payment experiences and financial services from anywhere. Our products are rapidly growing, with new features and ML solutions being launched continuously. Our team of engineers, scientists, developers, and product managers use rigorous quantitative approaches to target the right product for the right customer at the right time, balancing competitiveness, click-through rate, approval rates, customer friction, economic profit, and loss rates. We leverage Amazon’s vast data to build probabilistic models, run experiments, and utilize Amazon’s infrastructure to display the right offerings in real time. Our goal is to enhance the purchasing experience for hundreds of millions of consumers worldwide, making this an unparalleled opportunity within FinTech and the BNPL/Installment space.

As the Sr. BIE within WW Installments, you will advance our analytical capabilities and drive the roadmap for key pillars. This leadership role involves high influence, working with other BIEs, DEs, and Data/Applied Scientists in one of the world's largest data warehouse environments. You should be passionate about working with large datasets, bringing data together to answer business questions, and translating data into insights.

The ideal candidate will have excellent business and communication skills, be able to transform ambiguous business problems into analytical solutions, prioritize work to support business outcomes, and develop solutions to key questions.

Key job responsibilities

• Applying deep analytics and business skills to extract insights from large, complex datasets.
• Owning key executive reports and metrics for VPs and Directors.
• Engaging stakeholders to convert business problems into data, statistical, or scripting solutions.
• Partnering with Data/Applied Scientists to build scalable, automated data infrastructure.
• Collaborating with data engineering and product teams to deliver features.
• Identifying new opportunities to influence strategy and product vision using data.
• Supporting engineering and scientific teams in analytical projects and proof of concept development.
• Learning new technologies and techniques for innovation.
• Managing ambiguity and delivering on analytics roadmap with autonomy.

BASIC QUALIFICATIONS

• Bachelor’s degree in Data Science, Engineering, Statistics, Mathematics, or related field, or equivalent experience.
• 7+ years of relevant professional experience with data and analytics.
• Experience in programming (e.g., Python) for automation, statistical computation, and web scraping; advanced SQL skills for ETL operations.
• Excellent communication and data presentation skills, with a proven ability to partner with business and technical teams.
• Experience with data visualization tools like QuickSight, Tableau, or similar.
• Ability to define requirements and deliver solutions for complex business questions.
• Ability to work effectively in ambiguous, fast-paced environments.

PREFERRED QUALIFICATIONS

• Master’s degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics, or related fields.
• Experience with statistical programming languages such as Python, Julia, or R.
• Experience with test/control methodologies, time-series forecasting, or machine learning.
• Experience with AWS big data technologies (e.g., EMR, Redshift, S3, Glue, Kinesis, Lambda).
• Prior experience in tech, ecommerce, retail, or finance/banking industries.