Sr. Business Intelligence Engineer, GFP Analytics

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 GFP Analytics team in London. This role offers an exciting opportunity to work with vast datasets, driving strategic initiatives that enhance operational excellence and customer satisfaction. You will be at the forefront of developing innovative technical solutions, influencing key business decisions, and advocating for customer needs. If you thrive in a fast-paced environment and have a passion for data-driven insights, this position is perfect for you. Join a team that values collaboration and continuous improvement while shaping the future of logistics and delivery.

Qualifications

• 5+ years of experience in BI engineering with a focus on data analysis.
• Strong skills in SQL and Python for data extraction and automation.
• Experience in data visualization tools like Tableau or Quicksight.

Responsibilities

• Engineer critical input and output metrics to measure operational performance.
• Develop tools and dashboards to support internal stakeholders.
• Mentor and develop junior team members in BI practices.

Skills

Data Analysis

Problem Solving

Project Management

Communication

Statistical Analysis

Data Visualization

Data Science

Education

Bachelor's Degree in a related field

Tools

AWS

Python

SQL

Tableau

Quicksight

Job description

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Sr. Business Intelligence Engineer, GFP Analytics, London

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Client:

Amazon UK Services Ltd.

Location:

London, United Kingdom

Job Category:

-

EU work permit required:

Yes

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Job Reference:

a9f62d974fca

Job Views:

4

Posted:

29.04.2025

Expiry Date:

13.06.2025

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Job Description:

Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the Global Fleet and Products (GFP) Analytics team is for you!

We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We focus on everything from high-level to granular insights that drive entitlements (financial, time), safety and operational excellence outcomes, or strategic support of important initiatives such as the electrification of the Last Mile fleet.

The GFP Analytics (GFPA) team is looking for a customer obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop strategic initiatives in the Last Mile space. As a BIE on the GFPA team, you will develop and lead new technical solutions and influence business-critical decisions across multiple organizations and geographies.

To be successful in this role, you'll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations.


As a proven senior BI engineer you will:

- Engineer critical input and output metrics
- Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe
- Influence the organization's BI strategy.
- Mentors and develop others.
- Work with product, technology, and analytics teams to support the development of tools and dashboards
- Communicate with and support various internal stakeholders and external audiences
- Drives best practices in operational excellence, data modelling, and analysis.

BASIC QUALIFICATIONS

- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space

PREFERRED QUALIFICATIONS

- Experience managing, analyzing and communicating results to senior leadership
- Experience with operations/supply chain