Employer: Amazon Talent Acquisition
Salary:
Date Added: 09/12/2023
Ops Integration: Concessions team is looking for a motivated, creative and customer obsessed Snr. Business Intelligence Engineer with a strong analytical and development background, to develop exciting new tools with the ultimate aim of improving customer experience.
We are the voice of the customer in Amazon’s operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the Future: Leveraging Internet of Things (IoT) and advanced analytics to drive tangible, operational change on the ground. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver real impact
Every position at Amazon offers the opportunity for employees to influence business decisions and shape the future, but as a BIE you will be at the vanguard of developing analytical tools that drive business change, at scale and efficiently. You will collaborate with a wide range of stakeholders across the business to ensure any solutions developed are fit for purpose and suitable for key users of the information. This is your opportunity to have a big impact on some of the most exciting new ideas that are shaping the future of Amazon.
Key job responsibilities
– Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science
– Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools
– Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture
– Collaborate with engineers to help adopt best practices in data and other system creation, data integrity, test design, analysis, validation, and documentation
– Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers
– You will design, implement, and maintain solutions which handle a high volume of traffic and that integrate with existing Amazon services, e.g. in AWS
We are open to hiring candidates to work out of one of the following locations:
London, GBR
BASIC QUALIFICATIONS
– Experience with AWS technologies
– Experience working directly with business stakeholders to translate between data and business needs
– Experience in scripting for automation (e.g. Python) and advanced SQL skills.
– Experience in the data/BI space
– Experience programming with at least one software programming language such as Java, C, C++, or Perl
PREFERRED QUALIFICATIONS
– Experience managing, analyzing and communicating results to senior leadership
– Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
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://en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT – 4:00 pm GMT. If calling directly from the United Kingdom, please dial + (tel:+). If calling from Ireland, please dial + (tel:+).
Application Deadline: 20/01/2024
Contract Type: Permanent
Submitted Applications: 0