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Business Intelligence Engineer, ADSP Product Operations & Analytics
- New York, New York, United States
- New York, New York, United States
Über
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 different needs, goals, metrics, and risk considerations across the organization.
What We're Looking For We want someone who's customer-obsessed and detail-oriented—someone who can systematically break down complex problems and find solutions. You should be comfortable leading analytics initiatives, juggling priorities across multiple projects and stakeholders, and thriving in a fast-paced, dynamic environment.
You'll join an established analytics team with a strong collaborative culture. You'll work alongside experienced professionals in an environment that encourages innovation and continuous learning.
If this sounds like you, we'd love to hear from you!
Key job responsibilities
Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations
Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems
Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs
Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, 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. experience
3+ years of developing automated reporting experience
2+ years of processing large, multi-dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
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
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.
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Sprachkenntnisse
- English
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