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- Tasks: Join us to analyse and present data for Prime Video Channels, driving actionable insights.
- Company: Amazon is a global leader in e-commerce and cloud computing, committed to innovation.
- Benefits: Enjoy flexible working options, competitive pay, and a vibrant company culture.
- Why this job: Be part of a dynamic team shaping the future of streaming with impactful analytics.
- Qualifications: Experience with BI tools, data analysis, SQL, and coding in Python is essential.
- Other info: Diversity and inclusion are core values at Amazon; we welcome applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
Do you want to help inform the future of Prime Video Channels? We seek a Business Intelligence Engineer to focus on building world class processes around designing, collecting, organizing, and presenting data for our subscription business.
As a BI Engineer working on the PV Growth and Commerce Analytics team, you will be working closely with Product Managers, Marketing Managers, Content Acquisitions Managers, Finance Managers and other internal stakeholders to drive analytics that are timely, accurate, and actionable. A successful candidate knows and loves working with BI tools, is comfortable accessing and working with data from multiple sources, and can partner with internal stakeholders to help drive the business.
Key job responsibilities
o Collect, analyze and present actionable data for Prime Video Channels Business
o Understand high-level business objectives and continually align work with those objectives to meet needs of the business
o Analyze and solve problems at their root, stepping back to understand the broader context
o Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
o Write high quality code to retrieve and analyze data
o Learn and understand a broad range of Amazon\’s data resources and know when, how, and which to use, and which not to use
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
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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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Business Intelligence Engineer, Prime Video Growth and Commerce Analytics employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer, Prime Video Growth and Commerce Analytics
✨Tip Number 1
Familiarise yourself with the specific BI tools mentioned in the job description, such as Tableau and Quicksight. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with current or former employees of Prime Video or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data modelling and ETL processes in detail. Be ready to share specific examples of how you've used these skills to solve real business problems, as this will demonstrate your practical knowledge.
✨Tip Number 4
Stay updated on the latest trends in data analytics and business intelligence. Being able to discuss recent developments or innovations in the field during your interview can show your passion and commitment to the role.
We think you need these skills to ace Business Intelligence Engineer, Prime Video Growth and Commerce Analytics
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Business Intelligence Engineer position. Familiarise yourself with the tools and technologies mentioned in the job description, such as Redshift, SQL, and data visualisation tools.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in BI tools, data analysis, and any experience with AWS solutions, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of Prime Video's business objectives. Use specific examples from your past experiences to demonstrate how you can contribute to the team.
Highlight Collaboration Skills: Since the role involves working closely with various stakeholders, make sure to mention your teamwork and communication skills. Provide examples of how you've successfully collaborated with others to achieve business goals.
How to prepare for a job interview at Amazon.com, Inc
✨Know Your BI Tools
Familiarise yourself with the BI tools mentioned in the job description, such as Tableau and Quicksight. Be prepared to discuss your experience with these tools and how you've used them to drive actionable insights in previous roles.
✨Understand the Business Objectives
Before the interview, take time to research Prime Video Channels and their business objectives. This will help you align your answers with their goals and demonstrate that you understand the bigger picture of the role.
✨Showcase Your Coding Skills
Be ready to discuss your coding experience, particularly with SQL and Python. You might be asked to solve a problem or explain how you've used code to retrieve and analyse data in past projects.
✨Prepare for Data Analysis Questions
Expect questions that assess your analytical skills. Prepare examples of how you've approached data analysis, solved complex problems, and ensured data integrity in your previous work.
