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- Tasks: Join our team to analyse and visualise data for efficient package delivery.
- Company: Amazon Logistics delivers millions of products weekly, ensuring fast and cost-effective service.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant company culture.
- Why this job: Be part of a dynamic team driving innovation in logistics and making a real impact.
- Qualifications: Experience with data analysis, SQL, and visualisation tools is essential.
- Other info: Diversity and inclusion are core values at Amazon; we welcome all applicants.
The predicted salary is between 36000 - 60000 £ per year.
Business Intelligence Engineer – Logistics, ORBIT
Identyfikator pracy: 3032454 | Amazon EU SARL (Spain Branch)
Business Intelligence – Amazon Logistics:
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
Amazon Logistics is looking for a customer-focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation, and execution in last mile delivery. This position will be responsible for leading a BIE team building analysis and visualization tools and processes to support our growing Amazon Logistics business in Europe and worldwide.
The successful candidate will be able to retrieve, integrate, visualize, and present critical data to improve the efficiency of the package delivery network and enable effective management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, and process improvement, and track progress against goals. This role requires excellent analytical abilities, business acumen, comfort with technical teams and systems, and a self-starter attitude with strong attention to detail.
Core Job Responsibilities include:
- Partnering with internal stakeholders across multiple teams to gather requirements and deliver solutions.
- Collaborating with Data Engineering and Software Development Engineers to prioritize and define data and BI development needs.
- Working with scientists, supply chain, transportation, and logistics teams to identify new BI capabilities and projects.
- Conducting investigations into operations and business problems to identify opportunities and support implementation.
- Analyzing geo-spatial logistics and transaction data to identify user behavior or process issues, and providing analysis reports with recommendations.
- Serving as a liaison between planning, analytics, and operations teams to provide actionable insights and support investigations into performance and improvements.
- Developing queries and visualizations for ad-hoc requests and ongoing reporting.
PODSTAWOWE KWALIFIKACJE
– Experience analyzing data with Redshift, Oracle, NoSQL, etc.
– Experience with data visualization tools like Tableau or Quicksight.
– Experience in data modeling, warehousing, and ETL pipeline development.
– Experience with statistical analysis packages such as R, SAS, or Matlab.
– Proficiency in SQL and scripting (Python) for data processing.
– Experience in the data/BI space.
PREFEROWANE KWALIFIKACJE
– Experience with AWS solutions like EC2, DynamoDB, S3, and Redshift.
– Experience with data mining, ETL, and handling large-scale datasets in a business environment.
Amazon is an equal opportunities employer. We value diversity and are committed to creating an inclusive environment. If you require workplace accommodations during the application or onboarding process, please visit our accommodations page for more information.
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Business Intelligence Engineer - Logistics, ORBIT employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer - Logistics, ORBIT
✨Tip Number 1
Familiarise yourself with Amazon's logistics operations and the specific challenges they face. Understanding their last mile delivery process will help you demonstrate your knowledge during interviews and show how you can contribute to improving efficiency.
✨Tip Number 2
Network with current or former employees in similar roles at Amazon. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach and stand out as a candidate.
✨Tip Number 3
Brush up on your technical skills, especially in SQL and data visualisation tools like Tableau or Quicksight. Being able to showcase your proficiency in these areas during discussions will give you an edge over other candidates.
✨Tip Number 4
Prepare examples of past projects where you've successfully analysed data and provided actionable insights. Be ready to discuss how your contributions led to improvements, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Business Intelligence Engineer - Logistics, ORBIT
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Business Intelligence Engineer position. Familiarise yourself with Amazon Logistics and how they operate to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data analysis, visualisation tools, and any relevant programming skills. Mention specific projects or achievements that demonstrate your ability to handle large datasets and improve logistics processes.
Showcase Technical Skills: Make sure to detail your proficiency in SQL, Python, and any experience with AWS solutions. Providing examples of how you've used these skills in previous roles can set you apart from other candidates.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Discuss why you're interested in working for Amazon Logistics and how you can contribute to their mission of efficient delivery.
How to prepare for a job interview at Amazon
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to solve problems in previous roles. Highlight your experience with tools like Redshift, SQL, and any visualisation software you’ve worked with, such as Tableau or Quicksight.
✨Understand the Logistics Landscape
Familiarise yourself with Amazon's logistics operations and the challenges they face. Being able to discuss current trends in logistics and how data can improve efficiency will demonstrate your genuine interest in the role.
✨Collaboration is Key
Be ready to talk about your experience working with cross-functional teams. Emphasise your ability to partner with technical and business stakeholders to gather requirements and deliver effective BI solutions.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge, especially around data modelling, ETL processes, and statistical analysis. Brush up on your Python scripting skills and be prepared to discuss how you've applied them in real-world scenarios.
