Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...]
Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...]

Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...]

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Drive data insights and optimise Amazon's last-mile delivery across Europe.
  • Company: Join a leading tech giant focused on innovation and customer satisfaction.
  • Benefits: Competitive salary, diverse work culture, and opportunities for growth.
  • Why this job: Make a real impact by improving delivery capabilities and shaping the future of logistics.
  • Qualifications: Experience in data analysis, visualisation, and automation tools.
  • Other info: Collaborative environment with a focus on mentorship and career development.

The predicted salary is between 36000 - 60000 £ per year.

You will serve as a member of Capacity Strategy and Insight within the AMZL EU Launch and Expansion team, who are responsible for growing Amazon’s last mile delivery capability across Europe. Your focus will be on optimization, automation and scalability: improving the tools, reporting and insight we need to have in place to let us scale effectively over the next 3-6 years, and building the data automation and modelling that lets us do that. Scalability is also about the processes and mechanisms we use internally to manage and plan infrastructure and capacity, and you’ll be streamlining and improving those too.

The automation and tools you create will have a big hand in making sure we have enough capacity to meet our customers’ needs across Europe over the coming years.

Key job responsibilities
  • Assisting the team on managing a portfolio of analytics and modelling projects across multiple internal customers where demand invariably outstrips supply.
  • Act as design contributor for our data architecture, assisting the roadmap and making sure it meets the need of our present and future work.
  • Handle large volumes of data to optimize last-mile delivery operations. Create reports, analyse data, and derive actionable insights to drive decision-making.
  • Collaborate with matrixed, cross-functional teams to streamline the processes and mechanisms that let us plan and forecast accurately.
  • Build tools and automate mechanisms to let us deal with ever-increasing complexity at scale.
  • Utilize analytical skills, business judgment, and strategic thinking to innovate on behalf of customers.
  • Own projects from inception to completion, growing our technical capabilities, and influencing work processes.
  • Communicate clearly on development with technical and non-technical stakeholders throughout the whole project lifecycle.

As a Business Intelligence Engineer, you’ll be owning projects that are focused on providing insight and driving decisions that maximize our delivery capability whilst bringing cost down. You will use a combination of analytical skills, business judgment, and strategic thinking to innovate on behalf of our customers. Providing support and mentoring to develop the team. Your work will cover creating and improving reports, discovering new technical capabilities, writing documents, building tools, and helping influence the way that we work within L&E. You’ll be partnering with diverse cross-functional teams to develop new processes and mechanisms as our business evolves.

About the team

It’s a mixture of precision, invention, and world class supply chain logistics. It’s a host of teams working closely together to deliver a slick experience for our customers. It’s the use of data to understand what’s going to be needed and making sure we’re ready to handle the demand. It’s paying attention to the detail whilst also having a really good understanding of the big picture. And this role plays a big part in making it happen.

Experience & 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.

Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...] employer: Amazon Jobs

At Amazon, we pride ourselves on being an exceptional employer, particularly for the Business Intelligence Engineer role within our Capacity Strategy and Insight team. Our inclusive culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development while working on impactful projects that enhance our last-mile delivery capabilities across Europe. With a focus on automation and scalability, you'll be part of a dynamic environment that values your contributions and empowers you to make a real difference in meeting customer needs.
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Contact Detail:

Amazon Jobs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...]

✨Tip Number 1

Network like a pro! Reach out to current employees at Amazon or in the BI space on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like this. You never know, they might even refer you!

✨Tip Number 2

Prepare for those interviews! Brush up on your SQL skills and be ready to discuss your experience with data visualisation tools like Tableau or Quicksight. Practice explaining complex data concepts in simple terms – it’ll impress both technical and non-technical interviewers.

✨Tip Number 3

Show off your projects! If you've worked on any relevant analytics or modelling projects, make sure to highlight them during interviews. Bring examples of how your work has driven decisions or improved processes – it’s all about demonstrating your impact!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you can keep track of your application status easily. Let’s get you that job!

We think you need these skills to ace Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...]

Data Analysis
Data Visualization
SQL
Python
Data Modelling
ETL Pipelines
Statistical Analysis
AWS Solutions
Redshift
Oracle
NoSQL
Tableau
Quicksight
Collaboration Skills
Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Business Intelligence Engineer. Highlight your experience with data analysis, automation, and any relevant tools like SQL or Tableau. We want to see how you can contribute to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for our Capacity Strategy and Insight team. Let us know what excites you about working with data and driving decisions.

Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal initiatives, make sure to mention them. We love seeing how you've applied your analytical skills and innovative thinking to solve real-world problems!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our team there!

How to prepare for a job interview at Amazon Jobs

✨Know Your Data Tools

Familiarise yourself with the data tools mentioned in the job description, like Redshift, Tableau, and SQL. Be ready to discuss how you've used these tools in past projects, especially in relation to data analysis and visualisation.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex data challenges in previous roles. Highlight your analytical skills and strategic thinking, particularly in optimising processes or automating tasks to improve efficiency.

✨Understand the Bigger Picture

Research Amazon's last mile delivery operations and think about how your role as a Business Intelligence Engineer fits into that. Be prepared to discuss how your insights can drive decision-making and enhance customer experience.

✨Communicate Effectively

Practice explaining technical concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. Clear communication is key to ensuring everyone understands the insights you provide and the impact they have.

Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...]
Amazon Jobs
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  • Business Intelligence Engineer, Capacity Strategy and Insight within the AMZL EU Launch and Exp[...]

    Full-Time
    36000 - 60000 £ / year (est.)
  • A

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