Business Intelligence Engineer, ADSP Product Operations & Analytics

Amazon

Seattle, WA

JOB DETAILS
SKILLS
Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Budgeting, Business Analysis, Business Growth, Business Intelligence, Business Operations, Business Solutions, Business Support, Computer Science, Data Analysis, Data Mining, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Data Visualization, Data Warehousing, Database Extract Transform and Load (ETL), Detail Oriented, Documentation, Finance, Financial Mathematics, MATLAB, Mathematics, Metrics, Multiplatform/Cross-Platform, Multitasking, NoSQL, Operational Audit, Oracle, Oracle Database, Performance Analysis, Performance Management, Performance Metrics, Problem Solving Skills, Process Improvement, Process Modeling, Python Programming/Scripting Language, Query Optimization, R Programming Language, Reporting Dashboards, Reporting Skills, Requirements Management, Risk, Root Cause Analysis, SQL (Structured Query Language), Scripting (Scripting Languages), Statistical Analysis System (SAS), Statistics, Tableau, Team Player, Trend Analysis
LOCATION
Seattle, WA
POSTED
30+ days ago
Description 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! 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. 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. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, 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

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles