Amazon customer service Work, Jobs in London (with Salaries)

Business Intelligence Engineer, Amazon Customer Service
Amazon EU SARL (UK Branch) - D67 —London
- Full-time
- Oracle
- Engineering
- Master's degree
7d
Senior Manager, EU CXI, Amazon Customer Service
Amazon UK Services Ltd. —London
- Full-time
- English
- Business development
- Communication skills
Sales Account Manager, Large Customer Sales, Amazon Ads
Amazon Online UK Limited —London
- Full-time
- Sales
- Analysis skills
Area Manager, Customer Fulfillment
Amazon UK Services Ltd. —Tilbury
- Full-time
- Management
- Bachelor's degree
- Leadership
Operations Supervisor, AMZL
Amazon UK Services Ltd. —East London
- Full-time
- Microsoft Word
- Microsoft Outlook
- Customer service
Associate Account Manager, Amazon Vendor Services (AVS)
Amazon EU SARL (UK Branch) - D67 —London
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Spanish
Senior Account Manager , Amazon Pick up and Returns
Amazon UK Services Ltd. —London
- Full-time
- Data analysis skills
- Business development
- Presentation skills
1d
Account Manager, Amazon Vendor Services (AVS)
Amazon EU SARL (UK Branch) - D67 —London
- Full-time
- Spanish
- Microsoft Excel
- Sales
Sr. Customer Delivery Manager (Enterprise), Global Enterprise Services
Amazon Kuiper Services Europe SARL, UK Branch —London
- Full-time
- Spanish
- Computer Science
- DevOps
8d
Senior Product & Customer Insights Manager, Customer Experience and Business Trends
Amazon UK Services Ltd. —London
- Full-time
- Business development
- Bachelor's degree
- Business
Product Manager II, EU Co-Branded Credit Cards, Amazon Payment Products
Amazon EU SARL (UK Branch) —London
- Full-time
- Marketing
- Engineering
- Business development
Account Executive, Global Growth Sales, Amazon Ads
Amazon Online UK Limited —London
- Full-time
- Sales
- Data analysis skills
- Organisational skills
4d
Fleet Process Excellence Insights Manager, Fleet Process Excellence, Global Fleet and Products
Amazon UK Services Ltd. —London
- Full-time
- Computer Science
- Military
- Engineering
9d
General Manager, EU B2B Payment Products, Amazon B2B Payments & Lending
Amazon EU SARL (UK Branch) - D67 —London
- Full-time
- Master's degree
- Bachelor's degree
- Financial services
Software Development Manager, Amazon Rufus
Amazon Development Centre (London) Limited —London
- Full-time
- Team management
- Mentoring
- IT
Supply Chain Manager, Amazon R2L INTL Supply Chain
Amazon EU SARL (UK Branch) - D67 —London
- Full-time
- Microsoft Excel
- SQL
- Project management
4d
Program Manager, EU Product Insurance Business Operations, Payments Business Operations
Amazon EU SARL (UK Branch) —London
- Full-time
- Spanish
- Microsoft Excel
- SQL
UX Visual Designer, Amazon Advertising - Brand Innovation Lab
Amazon UK Services Ltd. —London
- Full-time
- Bachelor's degree
- HTML
Strategic Supply Chain Manager, Amazon EU fresh and Perishable Grocery Instock
Amazon EU SARL (UK Branch) —London
- Full-time
- Microsoft Excel
- Sales
- Data analysis skills
1d
Product Manager Technical, Payments International Expansion
Amazon UK Services Ltd. —London
- Full-time
- Bachelor's degree
- Driving
- Product management

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amazon customer service jobs near london

Business Intelligence Engineer, Amazon Customer Service

Amazon EU SARL (UK Branch) - D67 -
London

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Job details

Full-time
7 days ago

Qualifications

MATLAB
Data modelling
Oracle
Data mining
Business intelligence
Law
SAS
Engineering
R
NoSQL
Tableau
Master's degree
SQL
Statistical analysis
AWS
Maths
Scripting
Data pipeline
S3
Data science
Data visualisation
Redshift
DynamoDB
Data warehouse
Python

Full job description

DESCRIPTION

Amazon's Customer Service organization is seeking a Business Intelligence Engineer to join the Data Analytics Support Hub. Customer Service is the heart of Amazon. Our vision is to be Earth's most customer-centric company, and this team plays a central role in understanding why customers need to contact us and how we can prevent those contacts from happening in the first place.

The Advanced Analytics team is evolving Quality and Escalations analytics from descriptive reporting ("what happened") to diagnostic ("why did it happen) analytics at a worldwide level. We build the data infrastructure that powers multi-contact journey analysis, large-scale transcript processing, and machine-learning-driven root-cause identification across billions of customer interactions.

In this role, you will design and own the production data pipelines that turn domain expertise into scalable diagnostic insights. You will work across the full data lifecycle, from ingestion and modeling through certification and serving, enabling stakeholders to self-serve answers to complex "why" questions without waiting for ad-hoc analysis. Your work will directly feed Weekly Business Reviews, leadership dive-deeps, and the automation of diagnostic narratives using large language models.

This is an opportunity to combine deep data engineering craft with high-visibility business impact. You will operate at the intersection of large-scale data infrastructure and applied AI, shipping systems that meaningfully improve how Amazon understands and acts on customer experience signals worldwide.

Key job responsibilities
Build and own production data pipelines for diagnostic workloads: transcript ingestion at worldwide scale, multi-contact threading, journey-grain feature tables, and model-serving datasets.

Design and maintain end-to-end data models for the team's KPI portfolio, from raw source integration through consumption-ready tables.

Integrate team pipelines with central Customer Service data infrastructure, consuming shared tooling and contributing reusable components.

Scale innovations from analyst prototypes into maintainable, certified production pipelines with appropriate monitoring and alerting.

Build and maintain the transcript prototyping infrastructure used by stakeholders to self-serve, reducing time-to-delivery for new analytical requests.

Productionize LLM-based diagnostic outputs into reliable, refreshable datasets that power automated "why" narratives and self-service dive-deeps.

About the team
The Data Analytics Support Hub is a high-impact group responsible for diagnostic analytics across Amazon Customer Service worldwide. We answer the "why" behind quality and experience trends.

Our team combines business Analyst, data engineering, data science, and business intelligence expertise. We operate across the full stack: from raw transcript ingestion pipelines through feature engineering, LLM-based classification, and executive-facing automated narratives. We partner closely with operations, science, and product teams across CS to translate complex multi-interactions journey data into actionable insights that drive real improvements for customers.
Internal job description

BASIC QUALIFICATIONS

Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Master's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field

PREFERRED QUALIFICATIONS

Experience Productionize LLM-based diagnostic outputs into reliable datasets

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 (https://www.amazon.jobs/en/privacy_page) 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

Refine Your Search

amazon customer service jobs in london

Business Intelligence Engineer, Amazon Customer Service

Senior Manager, EU CXI, Amazon Customer Service

Sales Account Manager, Large Customer Sales, Amazon Ads

Area Manager, Customer Fulfillment

Operations Supervisor, AMZL

Associate Account Manager, Amazon Vendor Services (AVS)

Senior Account Manager , Amazon Pick up and Returns

Account Manager, Amazon Vendor Services (AVS)

Sr. Customer Delivery Manager (Enterprise), Global Enterprise Services

Senior Product & Customer Insights Manager, Customer Experience and Business Trends

Product Manager II, EU Co-Branded Credit Cards, Amazon Payment Products

Account Executive, Global Growth Sales, Amazon Ads

Fleet Process Excellence Insights Manager, Fleet Process Excellence, Global Fleet and Products

General Manager, EU B2B Payment Products, Amazon B2B Payments & Lending

Software Development Manager, Amazon Rufus

Supply Chain Manager, Amazon R2L INTL Supply Chain

Program Manager, EU Product Insurance Business Operations, Payments Business Operations

UX Visual Designer, Amazon Advertising - Brand Innovation Lab

Strategic Supply Chain Manager, Amazon EU fresh and Perishable Grocery Instock

Product Manager Technical, Payments International Expansion

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