Business Intelligence Engineer, ADSP Product Operations & Analytics

Amazon • Seattle, WA

49d

About The Position

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
In this role, you'll extract and analyze data, build reliable pipelines, spot
meaningful patterns, and translate complex findings into clear stories that
resonate with business stakeholders. You'll need sharp analytical skills, sound
judgment, and genuine curiosity about how our business works. Most importantly,
you'll 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!

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level