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Business Intelligence Engineer, RBS ARTS
4 weeks ago
Business Intelligence Engineer, RBS ARTS
About Amazon.com:
Amazon.com 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.com continues to grow and evolve as a world-class e-commerce platform. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
About Team:
The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog.
Overview of the role:
A candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. Responsibilities include:
- Works across team(s) and Ops organization at country, regional and/or cross-regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics.
Basic Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proficiency in automation using Python
- Excellent oral and written communication skills
- Experience with SQL, ETL processes, or data transformation
Preferred Qualifications
- Experience with scripting and automation tools
- Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
- Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB
- Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions
- Understanding of cloud services, serverless architecture, and systems integration
Key Job Responsibilities
As a Business Intelligence Engineer in the team, you will collaborate closely with business partners, architect, design, implement, and BI projects & Automations to build scalable data solutions and analytical insight.
You will work with a team of highly motivated business intelligence engineers and Business Analysts.
- Contribute to the design, implementation, and delivery of complex BI solutions
- Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Develop innovative BI and data analytics solutions leveraging advanced machine learning models to solve complex problems, build intelligent knowledge bases, and create conversational interfaces for enhanced business insights and recommendations.
- Drive projects on data automation, governance, and standardization
Additional Basic Qualifications
- 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
- Experience with programming languages packages such as Python, TypeScript or R.
- Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
- Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
- Expert-level SQL.
- Proficiency with one or more general purpose programming languages (e.g. Python, Java, Typescript, Scala, etc.)
- Knowledge of AWS products such as Redshift, Quicksight, and Lambda.
- Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
Additional Preferred Qualifications
- Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
- Experience with AWS solutions such as Step-Functions, EC2, DynamoDB, S3.
- Knowledge of machine learning techniques and concepts.
- Strong understanding of machine learning concepts, including the development and deployment of ML models to solve complex problems.
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 this link for more information. 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.
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