Business Intelligence Engineer, ADSP Product Operations & Analytics
We’re looking for a talented Business Intelligence Engineer who can turn data into actionable insights that drive strategic decisions. You’ll work directly with business leaders to build analytics frameworks, design KPIs and dashboards, and create AI‑powered workflows that help teams make smarter, data‑driven choices.
What You’ll Do
- Extract and analyze data, build reliable pipelines, spot meaningful patterns, and translate complex findings into clear stories that resonate with business stakeholders.
- Collaborate with diverse teams to create centralized data tools that meet various needs, goals, metrics, and risk considerations across the organization.
Key Job Responsibilities
- Investigate complex business challenges, identify root causes of delivery gaps and operational inefficiencies, and uncover opportunities to optimize outcomes.
- Design and build resilient business‑intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations.
- Develop sophisticated data models and ETL pipelines that process large‑scale datasets to support rapid business growth.
- Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking KPIs, budget metrics, and operational efficiency.
- Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes.
- Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities.
- Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations.
- Collaborate across engineering, data science, and business teams to build centralized data tools.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- 3+ years of developing automated reporting.
- 2+ years of processing large, multi‑dimensional datasets from multiple sources.
- 1+ year of performing statistical analysis.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- Experience in Statistical Analysis packages such as R, SAS, and Matlab.
- Bachelor’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field.
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Experience in data mining, ETL, etc. and using databases in a business environment with large‑scale, complex datasets.
Equal Opportunity Employment. Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
We offer a base salary range for this position. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation is determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
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