Sr Business Intelligence Engineer, Data and Analytics

Amazon EU SARL (UK Branch) - D67; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in data analytics is seeking a Sr Business Intelligence Engineer in London. This role involves developing innovative insights that drive strategic decisions across European transportation. Ideal candidates will have expertise in SQL, Python, and a passion for solving complex data challenges within a collaborative team environment.

Qualifications

• Professional experience in Business Intelligence, data engineering or analytics.
• Advanced proficiency in SQL and Python.
• Experience in developing analytical models and reporting frameworks.

Responsibilities

• Analyze complex business requirements and translate them into robust technical specifications.
• Design and implement scalable Business Intelligence solutions.
• Create and deliver presentations of analytical solutions to stakeholders.

Skills

SQL

Python

Data Visualization

Analytical Models

Data Engineering

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field

Master's degree in statistics, data science, or an equivalent quantitative field

Tools

Tableau

Quicksight

AWS Redshift

Hadoop

Job description

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Sr Business Intelligence Engineer, Data and Analytics, London

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Client:

Amazon EU SARL (UK Branch) - D67

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

d0794215443f

Job Views:

8

Posted:

22.06.2025

Expiry Date:

06.08.2025

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Job Description:

Unlock the power of data and transform transportation operations with analytics solutions! Join our dynamic team in London and become a pivotal force in developing innovative insights that drive strategic decision-making across European transportation networks.

You'll be at the forefront of creating next-generation data tools that provide intuitive insights for the Air, Line-haul and Sortation teams in Europe. By leveraging advanced analytical skills, you'll help translate complex business challenges into meaningful, actionable intelligence that supports strategic innovation and operational excellence.


Key job responsibilities
Key responsibilities
- Analyze complex business requirements and translate them into robust technical specifications
- Design and implement scalable Business Intelligence solutions and custom software development products
- Develop comprehensive test cases and guide stakeholders through testing processes
- Create and deliver compelling presentations of analytical solutions to business stakeholders
- Maintain and troubleshoot deployed solutions with a focus on system reliability and performance



A day in the life
Your day will be a blend of collaborative problem-solving and independent technical development. You'll engage with cross-functional teams, design sophisticated reporting frameworks, and develop analytical models that provide critical operational insights. Expect to dive deep into data challenges, prototype innovative solutions, and communicate complex technical concepts with clarity and impact.

About the team
We are a collaborative group of data enthusiasts committed to transforming transportation operations through intelligent analytics. Our team values creativity, analytical thinking, and a passion for solving complex business challenges. We're focused on developing scalable solutions that drive operational efficiency and strategic decision-making across European transportation networks.

BASIC QUALIFICATIONS

- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
- Professional experience in Business Intelligence, data engineering or data analytics
- Advanced proficiency in SQL and Python
- Knowledge of data warehousing and data modeling
- Experience in developing analytical models and reporting frameworks
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs
- Experience programming to extract, transform and clean large (multi-TB) data sets

PREFERRED QUALIFICATIONS

- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies