Business Intelligence Engineer, LMAQ

Amazon; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a dynamic Business Intelligence Engineer to enhance customer experience through innovative data management strategies. This role involves collaborating with various teams to drive quality improvements and operational excellence. The ideal candidate will possess strong analytical and problem-solving skills, with a proven track record in data analysis and visualization. Join a forward-thinking company that values diversity and fosters an inclusive culture, where your contributions will directly impact customer satisfaction and operational success. If you thrive in a fast-paced environment and are passionate about data-driven decision-making, this opportunity is perfect for you.

Qualifications

• 2+ years of experience in data analysis with relevant tools.
• Experience with data visualization and scripting languages.

Responsibilities

• Manage customer expectations and resolve conflicts effectively.
• Develop processes for maintaining and sharing project information.

Skills

Data Analysis

Problem Solving

Communication Skills

Technical Skills

Data-Driven Decision Making

Education

Bachelor's Degree

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

Python

Java

R

Job description

When you attract people who have the DNA of pioneers and explorers, you build a company of like-minded individuals who want to invent. They think about how to work backwards from customers and build great services or products – Jeff Bezos.

Amazon.com’s success is built on customer obsession. Delivering millions of packages seamlessly every day involves numerous decisions made by machines and humans. Key considerations include address accuracy, location mapping, safe delivery spots, unattended delivery options, signature requirements, commercial property details, business hours, alternate addresses, customer preferences, route optimization, local knowledge of delivery associates, access codes, and more. At the core, quality data enables timely decision-making.

The person in this role will influence goals across Technology, Operations, and Finance teams and serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy individual with stamina and quick thinking to thrive in a fast-paced, high-growth environment. Excellent communication skills and executive presence are essential for engaging with VPs and SVPs at Amazon.

Key Strategic Objectives

Amazon seeks an experienced leader to own the vision for quality improvement via global address management programs. As a Business Intelligence Engineer in the Amazon last mile quality team, you will shape strategies and customer-facing products critical to the customer experience. As part of the last mile leadership team, you will continually enhance quality and performance, bringing innovation, strategic insight, and a focus on execution amidst competing priorities and operational initiatives. Collaboration with product and technology teams to develop innovative, customer-friendly experiences is vital. You must be highly analytical, effective in a matrix organization, and skilled in breaking down complex problems to drive rapid product development at Amazon’s pace. You will lead defect reduction efforts through continuous improvement, ensuring accountability across business units for large-scale, high-impact projects. Leading by example, you will be passionate about operational performance and customer experience.

The successful candidate will:

• Manage customer expectations and resolve conflicts to balance client and company needs.
• Develop processes for maintaining and sharing project information with stakeholders.
• Succeed in delivery-focused environments by establishing effective processes.
• Possess excellent technical, problem-solving, and communication skills, with a drive to get things done.
• Use data-driven insights to prioritize, influence, innovate, and drive urgency.
• Partner with stakeholders to develop vision and strategy for customer experience, influencing product roadmaps.
• Support scalable growth by enabling the success of the Operations leadership team.
• Model Amazon Leadership Principles internally and externally.
• Implement and share best practices across operations.

BASIC QUALIFICATIONS

• 2+ years of experience analyzing and interpreting data with tools like Redshift, Oracle, NoSQL.
• Experience with data visualization tools such as Tableau or Quicksight.
• Proficiency in scripting languages like Python, Java, or R.
• Experience building and maintaining data artifacts (ETL, data models, queries).
• Knowledge of basic statistical methods (e.g., regression).
• Experience gathering business requirements and using BI tools to extract data, create metrics, and generate reports.
• Proven ability to generate insights and collaborate with stakeholders.

PREFERRED QUALIFICATIONS

• Knowledge of improving code quality and optimizing BI processes.
• Experience in data modeling and pipeline design.
• Experience designing automated, custom reporting systems.

We are committed to an inclusive culture. If you need accommodations during the application or onboarding process, please visit this link. Amazon is an equal opportunity employer and values diversity.