Business Intelligence Engineer, WHS DataAmazon • Bellevue, Washington, United States
Business Intelligence Engineer, WHS Data
Amazon
- Bellevue, Washington, United States
- Bellevue, Washington, United States
À propos
At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create a safer, more productive, higher performing, more diverse, and more just work environment. In the Workplace Health and Safety (WHS) organization, the Business Intelligence (BI) and Data Engineering (DE) functions deliver all reporting solutions required to drive workplace safety and regulatory compliance worldwide. This role primarily supports the data and reporting needs for the Executive Response (ER) BI team, engaging closely with senior leaders to generate insights that impact strategic decisions.
Key Job Responsibilities
Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems.
Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership.
Identify opportunities and key criteria to drive analytical reporting and business strategy.
Produce written recommendations and insights for key stakeholders that help shape effective metric development and reporting.
Simplify and automate reporting, audits, and other data‑driven activities.
Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights.
Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation.
Learn new technology and techniques to support product and process innovation.
Basic Qualifications
3+ years of analyzing and interpreting data with Amazon Redshift, Oracle, NoSQL, or similar technologies.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience with data visualization using Tableau, Quicksight, or similar tools.
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or a related quantitative field.
Preferred Qualifications
5+ years of analyzing and interpreting data with Amazon Redshift, Oracle, NoSQL, or similar technologies.
Experience with AWS services such as EC2, DynamoDB, S3, and Redshift.
Experience in data mining, ETL processes, and working with large‑scale, complex datasets in a business environment.
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, or a related quantitative field.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional Supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
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Compétences linguistiques
- English
Avis aux utilisateurs
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