Business Intelligence Engineer, Innovation and Design Engineering (m/w/d)

Are you passionate about working with Amazon-scale data, analytics, and data science? Do you love bringing data together from diverse systems and sources and working on critical analytics problems for understanding operations behaviour and generating actionable insights? Does the idea of partnering with a team of highly experienced automation design engineers excite you? Innovation and Design team is looking for an experienced, self-driven business-intelligence engineer to help us synthesize data into knowledge, taking our operational data and transforming it into useful automation insights such as Overall Equipment Effectiveness (OEE), patterns of operational issues and some curiosity led investigations. We offer technical autonomy along with coaching and growth support.
Come join us as we revolutionize logistics automation around the world.Innovation and Design Engineering are a cross-functional team of mechatronic engineers, controls engineers, data engineers, and simulation scientists with a critical business mission making revolutionary leaps forward in logistics automation. We design and build mechatronic systems including robotics, conveyoring, automated storage and vision systems to improve safety, speed and quality in the last mile (AMZL) of Amazon

Key job responsibilitiesAs a Business Intelligence Engineer in Innovation and Design Engineering at Amazon, you will connect with engineers working at the forefront of designing new automation technologies. You will be working with massive-scale data and providing analytic support to product managers and engineering peers using this data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business, and will play an integral role in tactical decision-making for machine and process design.A day in the lifeYou will be at the forefront of transforming raw operational data into actionable automation insights. Your day could include: analyzing performance metrics from a new robotic storage system in the morning, to running complex queries across multiple data sources that reveal hidden patterns in equipment efficiency by mid-day. You would dive into real-time throughput data, identifying subtle anomalies that could impact system reliability, and collaborate with mechanical or controls engineers to implement data-driven solutions. By afternoon, you might be building automated dashboard solutions or investigating computer vision system accuracy variations. You'll end your day collaborating with cross-functional teams, sharing data-backed insights that could revolutionize our next automation design. From initial data exploration to production deployment, your statistical expertise and innovative approaches to data visualization will be crucial in driving operational excellence across our logistics network.

BASIC QUALIFICATIONS

- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience in SQL Server/MySQL, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications
- Experience with a scripting language such as PowerShell, Python, Bash, Perl, Ruby or similar
- Experience in data mining, data management, reporting, and SQL queries
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience working with REST API based services, or experience with threat modeling and penetration testing and experience in Hive/Spark/Hbase/Yarn
- • Mine & manipulate data from log files by writing scripts (ex. Python, UNIX, PERL)
- • An understanding of design for scalability, performance and .

QUALIFICATIONS

- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
- Experience writing and publishing technical documents or equivalent
- Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- • Experience architecting web applications using NodeJS.
- • Ability to take a project from initial scoping requirements through actual design

development and testing
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