Business Intelligence Engineer, EUS IDQ

Job title:

Business Intelligence Engineer, EUS IDQ

Company

Amazon

Job description

DESCRIPTIONWork hard. Have fun. Make history.
Amazon strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce destination.EUS IDQ team is seeking a Business Intelligence Engineer to help accelerate the team’s efforts to improve Item Data Quality.We seek a quick learner who can familiarize themselves with fast-paced environment, build relationships with cross-functional and cross-category teams and assume ownership for distinct domains on the EUS IDQ roadmap. The right candidate will be flexible, self-starting, action and results-oriented. You must have a high capacity to Learn and Be Curious adapting to the latest changes in the business, systems, tools, and techniques for extracting, processing, analyzing, modeling, and acting on data. The ideal candidate will be a self-starter, highly analytical, consistently think in terms of automation, and intensely detailed with a strong customer focus to drive impact in a fast-paced environment with limited supervision. The ideal candidate shows good judgment in making technical trade-offs between short term and long-term business needs and demonstrate the ability to drive issues to completion.Key job responsibilities
As a BIE on our team you will focus on exciting and challenging problems. Key responsibilities include:

• Applying your deep analytic and business intelligence skill to extract meaningful insight from large and complicated data sets
• Engaging business stakeholders in constructive dialogues to convert CX/IDQ problems into logic problems that can be solved with data, statistics, and/or scripting
• Designing, developing, and implementing scalable, automated infrastructure for data extraction, processing, computation, and delivery
• Designing, developing, and implementing analytical models to underpin Customer facing experiences using statistical methodologies and techniques
• Communicating analytical outputs to stakeholders with a focus on making clear insights, model assumptions, tradeoffs etc.
• Building an expert understanding of technologies and techniques required to build analytical solutions in the Amazon data eco-system. Upskilling in new areas as required for different analytical solutions.

BASIC QUALIFICATIONS– Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
– 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)
– Experience with SQL
– Experience in the data/BI space
– Experience building and maintaining large data pipelinesPREFERRED QUALIFICATIONS– Master’s degree, or Advanced technical degree
– Knowledge of data modeling and data pipeline design
– Experience with statistical analysis, co-relation analysisAmazon 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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.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.

Expected salary

Location

London

Job date

Sat, 29 Mar 2025 04:02:16 GMT

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