Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to analyse data and improve package movement visibility.
- Company: Amazon is a global leader in e-commerce and technology, dedicated to customer satisfaction.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for growth.
- Why this job: Be part of innovative projects using AI and data analytics to drive business success.
- Qualifications: 2+ years of data analysis experience; proficiency in data visualisation tools and scripting languages required.
- Other info: We value diversity and provide accommodations for applicants with disabilities.
The predicted salary is between 36000 - 60000 £ per year.
Business Intelligence Engineer, ShipTech
Amazon transportation is seeking a highly skilled and a motivated team player to be part of our dynamic team which builds software to provide visibility into package movement across the network and helps improve end user experience by taking appropriate course corrections based on the recommendations made by our systems. BIE plays a crucial role, can build and analyze data systems, spot important business pattern, create metrics that measure success and develop ways to validate our findings. BIE will work closely with the Transportation teams including Shiptech and its internal clients to provide analytical support for the business.
Key job responsibilities
• Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
• Contribute to the design, implementation, and delivery of complex BI solutions
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
• Use data mining, model building to create solutions for the growing analytical needs
• Drive projects on machine learning, data automation, governance and standardization
• Develop innovative BI and data analytics solutions leveraging generative AI (AWS Bedrock) to build intelligent knowledge bases and conversational interfaces for enhanced business insights and recommendations
• Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth. Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines. Respond with urgency to high priority requests from senior business leaders.
BASIC QUALIFICATIONS
– 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
– Experience with data visualization using Tableau, Quicksight, or similar tools
– Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
– Experience with scripting language (e.g., Python, Java, or R)
PREFERRED QUALIFICATIONS
– Master\’s degree, or Advanced technical degree
– Knowledge of data modeling and data pipeline design
– Experience with statistical analysis, co-relation analysis
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr
Business Intelligence Engineer, ShipTech employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer, ShipTech
✨Tip Number 1
Familiarise yourself with Amazon's data resources and tools, especially Redshift and NoSQL databases. Understanding how to navigate these systems will give you a significant edge during discussions with the hiring team.
✨Tip Number 2
Brush up on your data visualisation skills, particularly with tools like Tableau and QuickSight. Being able to demonstrate your ability to create insightful dashboards can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with machine learning and data automation projects. Highlighting specific examples of how you've driven projects in these areas will show your capability to contribute to Amazon's analytical needs.
✨Tip Number 4
Stay updated on current trends in business intelligence and analytics, especially those relevant to the transportation sector. Being able to speak knowledgeably about industry trends will impress the interviewers and demonstrate your passion for the role.
We think you need these skills to ace Business Intelligence Engineer, ShipTech
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. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Skills: In your CV and cover letter, emphasise your experience with data analysis tools like Redshift, Oracle, and NoSQL, as well as your proficiency in data visualisation tools such as Tableau or QuickSight. Mention any scripting languages you are familiar with, like Python or R.
Showcase Project Experience: Provide specific examples of projects you've managed or contributed to that involved data gathering, manipulation, and analysis. Detail how your insights led to business decisions or improvements, demonstrating your ability to drive results.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your enthusiasm for the role and the company. Discuss how your background and skills can contribute to Amazon's goals in transportation and business intelligence.
How to prepare for a job interview at Amazon
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've analysed and interpreted data in previous roles. Highlight your experience with tools like Redshift or Oracle, and be ready to explain the impact of your findings on business decisions.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the BI tools mentioned in the job description, such as Tableau or QuickSight. Be prepared to discuss your experience with these tools and how you've used them to create impactful visualisations or reports.
✨Understand the Business Context
Research Amazon's transportation sector and understand the key challenges they face. Be ready to suggest how your skills can help improve package visibility and enhance user experience based on your understanding of their business model.
✨Prepare for Problem-Solving Questions
Expect to encounter scenario-based questions that assess your problem-solving abilities. Practice articulating your thought process clearly, especially when it comes to data manipulation and project management.
