Business Intelligence Engineer
3 weeks ago
Amazon is seeking a highly skilled Business Intelligence Engineer to join our team. As a Business Intelligence Engineer, you will be responsible for designing, developing, and implementing large-scale data structures for business intelligence analytics. You will work closely with cross-functional teams to gather business and functional requirements and translate them into robust, scalable, operable solutions that work well within the overall data architecture.
Key Responsibilities
- Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
- Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
- Gathering business and functional requirements and translating the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture.
- Analyzing source data systems and driving best practices in source teams.
- Analyzing large amounts of data, discovering and solving real world problems, and building metrics and business cases to help business teams to make decisions.
- Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.
- Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.
- Analyzing and evaluating business process, and through data driven insights proposing and implementing business process improvement.
About Amazon
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
4+ years of experience with data visualization using Tableau, Quicksight, or similar tools
4+ years of experience with data modeling, warehousing and building ETL pipelines
4+ years of experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
4+ years of experience working as a BIE in a technology company
4+ years of experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
3+ years of experience with forecasting and statistical analysis
3+ years of experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
3+ years of experience in Statistical Analysis packages such as R, SAS and Matlab
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. For individuals with disabilities who would like to request an accommodation, please visit Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
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