Business Intelligence Engineer - Locations considered: London, Paris, Madrid, Milan, Munich, Be[...]

TN United Kingdom; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company is hiring a Business Intelligence Engineer in London to build data warehouse and data lake solutions. The role involves developing Business Intelligence solutions, collaborating with various teams, and creating scalable data solutions to enhance customer experience. Ideal candidates will have experience with data analysis tools and strong problem-solving skills.

Qualifications

• Experience analyzing data with Redshift, Oracle, NoSQL.
• Experience with data visualization tools like Tableau or Quicksight.
• Proficiency in statistical analysis packages such as R, SAS, Matlab.

Responsibilities

• Designing, developing, and implementing scalable data solutions.
• Collaborating on a global scale to automate data pipelines.
• Developing analytics tools, dashboards, and metrics.

Skills

Data analysis

Communication

Stakeholder management

Problem-solving

Tools

Redshift

Oracle

NoSQL

Tableau

Quicksight

R

SAS

Matlab

Python

Job description

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Business Intelligence Engineer - Locations considered: London, Paris, Madrid, Milan, Munich, Berlin, EU Heavy and Bulky Services, London

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Client:

Amazon EU SARL (UK Branch)

Location:

London, United Kingdom

Job Category:

Other

Virtual job fairs

-

EU work permit required:

Yes

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Job Reference:

Job Views:

3

Posted:

23.05.2025

Expiry Date:

07.07.2025

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Job Description:

Locations considered: London, Paris, Madrid, Milan, Munich, Berlin

Are you interested in building data warehouse and data lake solutions to shape the analytical backbone of the EU Heavy Bulky & Services team? We are hiring a Business Intelligence Engineer to scale up our data projects to the next level. This position requires experience in building Business Intelligence solutions, paired with a hands-on data engineering mentality. We seek individuals that enjoy collaborating across stakeholders and that bring excellent statistical and analytical abilities to the team.

Heavy Bulky & Services is a growing Amazon business, designed to enable Customers to enjoy website browsing, product shopping, and delivery experience for our specific product portfolio. We are looking for a Business Intelligence Engineer to support our European business. This role will work across teams including Product Managers, Tech, Logistics, Finance, and Retail. You will need excellent communication skills and stakeholder management, a focus on upholding standards, and a commitment to creative problem solving and execution. Customer obsession is key.

The successful candidate will have played a leading role in developing analytically derived solutions that have solved large-scale business problems and contributed to the evolution of analytical practices. Experience in developing automated analytical solutions is preferred.

Key job responsibilities

• Design, develop and implement scalable data solutions, automate processes, and accelerate analytics.
• Collaborate with other Business Intelligence Engineers on a global scope and implement data pipelines to automate manual solutions.
• Develop analytics tools, dashboards, and metrics.
• Communicate analytical outputs clearly to stakeholders, highlighting insights and tradeoffs.
• Propose and prioritize reporting improvements, create new metrics, and own data presentation.
• Build expertise in technologies and techniques for analytical solutions within the Amazon data ecosystem.
• Learn new systems, tools, and industry best practices to inform new studies and tools.

A day in the life

We dedicate 75% of our time to BI projects, focusing on solutions for business needs and internal process optimization. 15% is allocated to ad-hoc analysis, with the remainder for learning and developing new tools.

About the team

The EU HBS BIEs are a data-focused team driving innovative projects for Heavy Bulky & Services. Our mission is to build a best-in-class Customer Experience for our selection.

BASIC QUALIFICATIONS

• Experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization tools like Tableau, Quicksight, or similar.
• Experience with data modeling, warehousing, and ETL pipelines.
• Experience with statistical analysis packages such as R, SAS, or Matlab.
• Proficiency in SQL and scripting (Python) for data processing.

PREFERRED QUALIFICATIONS

• Experience with AWS solutions like EC2, DynamoDB, S3, Redshift.
• Experience in data mining, ETL, and handling large, complex datasets in a business environment.

Please note: If you are not a passport holder of the country for the vacancy, you might need a work permit. Check our Blog for more info.

Bank or payment details should not be provided when applying. All applications should be made via the 'Apply now' button.

Created on 23/05/2025 by TN United Kingdom