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For Companies At a Glance
- Tasks: Join our team to analyse data, solve problems, and enhance customer experience.
- Company: Amazon is a global leader in e-commerce and technology, committed to innovation.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant company culture.
- Why this job: Be part of a diverse team driving data-driven decisions and improving operations.
- Qualifications: 2+ years in data analysis, experience with tools like Tableau, and scripting skills required.
- Other info: Inclusive culture that supports personal growth and workplace accommodations.
The predicted salary is between 28800 - 48000 £ per year.
Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.
Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.
This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.
Key job responsibilities
1) Translate business problems into analytical requirements and define expected output
2) Create analytical approach to solve the problem inline with stakeholder expectation
3) Be the domain expert and have knowledge of data availability from various sources.
4) Execute solution with scalable development practices in scripting, data extraction and data visualization
5) Triangulate data from multiple sources to ensure data fidelity
6) Responsible for deep-dive analysis on key metrics
7) Manage top notch communication with stakeholders and team members with include project progress, blockers etc.
A day in the life
1) Solve analyses with well-defined inputs and outputs; drive to the heart of the problem and identify root causes
2) Have the capability to handle large data sets in analysis
3) Derive recommendations from analysis
4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
5) Communicate analytical insights effectively
About the team
AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.
AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.
We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.
We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.
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 building and maintain basic data artifacts (e.g. ETL, data models, queries)
– Experience with scripting language (e.g., Python, Java, or R)
– 2+ years of ecommerce, transportation, finance or related analytical field experience
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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Business Intel Engineer I, AOP employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intel Engineer I, AOP
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Redshift, Oracle, and Tableau. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Prepare to discuss your analytical approach by thinking of past projects where you identified problems and implemented solutions. Be ready to explain your thought process and how it aligns with the responsibilities outlined in the job description.
✨Tip Number 3
Showcase your communication skills by practicing how you would present complex data insights to non-technical stakeholders. This is crucial for the role, so consider preparing a mock presentation to demonstrate your ability to convey information clearly.
✨Tip Number 4
Research Amazon's AOP team and their recent projects or initiatives. Understanding their mission and how they operate will help you tailor your responses and show that you're genuinely interested in contributing to their goals.
We think you need these skills to ace Business Intel Engineer I, AOP
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and qualifications required for the Business Intel Engineer I position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data analysis, data visualization tools like Tableau or Quicksight, and any relevant scripting languages such as Python or R. Provide specific examples of projects where you successfully solved analytical problems.
Showcase Communication Skills: Since the role requires strong communication with stakeholders, include examples in your application that demonstrate your ability to convey complex analytical insights clearly and effectively. This could be through presentations, reports, or collaborative projects.
Tailor Your Application: Customise your cover letter to reflect your understanding of Amazon's customer-obsessed culture and how you can contribute to the AOP team's mission. Mention specific ways you can help improve operations performance and network efficiency based on your past experiences.
How to prepare for a job interview at Amazon
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and how you've used tools like Redshift or Tableau. Bring examples of past projects where you translated business problems into analytical requirements.
✨Demonstrate Problem-Solving Abilities
Highlight instances where you've identified potential issues before they escalated. Discuss the solutions you implemented and how they improved processes or outcomes.
✨Communicate Effectively
Since strong communication skills are crucial, practice explaining complex data insights in a clear and concise manner. Be ready to discuss how you keep stakeholders informed about project progress and challenges.
✨Familiarise Yourself with the Team's Mission
Understand the AOP team's goals and how they contribute to improving operations. This will help you align your answers with their objectives and demonstrate your enthusiasm for the role.
