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For Companies At a Glance
- Tasks: Join our team to analyse data and drive key business decisions.
- Company: Amazon is a leading e-commerce platform focused on customer satisfaction.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant company culture.
- Why this job: Be part of a dynamic team solving real-world problems in e-commerce.
- Qualifications: 5+ years of data analysis experience with SQL and data visualisation tools.
- Other info: We value diversity and provide accommodations for applicants with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
Business Intelligence Engineer II, IN CoBRA
Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerce? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.
IN Consumer BI Reporting and Analytics (COBRA) team is looking for a highly driven, customer-obsessed Business Intelligence Engineer who will be responsible for building BI platform & team and supporting key decision making across the group. You’ll analyze large amounts of data, discover and solve real world problems, build metrics and business cases around key projects and, most of all, be an integral part of creating a better customer and seller experience.
We are looking for customer obsessed, data driven entrepreneurs to join our growing team. Solve some of the hardest problems for our customers. If you want operate at start up speed, solve some of the hardest problems and build a service which customers love, Amazon.in might just be the place for you.
The Business Intelligence Engineer is responsible for driving deep insights about Amazon Business and driving continuous improvement using the analysis. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems.
Key job responsibilities
Some of the key result areas include, but not limited to:
– 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.
– Work closely with category, marketing and sales stakeholders to understand and automate processes
– Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth. Respond with urgency to high priority requests from senior business leaders.
– Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of the business.
– The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices.
BASIC QUALIFICATIONS
– 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
– Experience with data visualization using Tableau, Quicksight, or similar tools
– Experience with data modeling, warehousing and building ETL pipelines
– Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
– 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
– Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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.
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Business Intelligence Engineer II, IN CoBRA employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer II, IN CoBRA
✨Tip Number 1
Familiarise yourself with Amazon's core business values and initiatives. Understanding these will help you align your insights and recommendations with what matters most to the company, making you a more attractive candidate.
✨Tip Number 2
Brush up on your SQL and data visualisation skills, particularly with tools like Tableau or Quicksight. Being able to demonstrate your technical expertise in these areas during discussions can set you apart from other candidates.
✨Tip Number 3
Network with current employees in the Business Intelligence field at Amazon. Engaging with them can provide you with insider knowledge about the team dynamics and expectations, which can be invaluable during interviews.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in your previous roles. Highlighting your analytical skills and problem-solving abilities will resonate well with the hiring team.
We think you need these skills to ace Business Intelligence Engineer II, IN CoBRA
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 II position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data analysis, SQL, and any tools mentioned in the job description, such as Redshift or Tableau. Provide specific examples of how you've used these skills to drive business decisions.
Showcase Problem-Solving Skills: Demonstrate your analytical and problem-solving abilities by including examples of how you've tackled complex data challenges in previous roles. This will show your potential employer that you can handle the demands of the position.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also conveys your passion for e-commerce and customer obsession. Make it clear why you want to work for Amazon and how you can contribute to their goals.
How to prepare for a job interview at Amazon
✨Understand the Business
Before the interview, take time to research Amazon's core business values and initiatives. Be prepared to discuss how your experience aligns with their goals and how you can contribute to improving customer and seller experiences.
✨Showcase Your Data Skills
Be ready to demonstrate your expertise in data analysis and visualisation tools like Tableau or Quicksight. Prepare examples of past projects where you've successfully used SQL, Python, or other relevant technologies to solve complex problems.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of specific instances where you've identified opportunities for improvement through data analysis and how you presented your findings to stakeholders.
✨Communicate Clearly and Confidently
During the interview, articulate your thought process clearly. Use structured responses to explain how you approach data-driven decision-making and ensure you convey your passion for e-commerce and customer satisfaction.
