Business Analyst II, Central Analytics, AET Planning & Analytics

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Business Analysis, Business Intelligence, Capacity Management, Communication Skills, Customer Experience, Data Analysis, Data Entry, Data Modeling, Data Quality, Data Science, Demand Forecasting/Planning, Finance, Forecasting, Leadership, Metrics, Operational Support, Operations Planning, Problem Solving Skills, Process Improvement, QoS (Quality of Service), Reporting Dashboards, SQL (Structured Query Language), Systems Analysis, Workforce Management, Workforce Planning
LOCATION
Seattle, WA
POSTED
17 days ago

The Amazonian Experience and Technology (AET) team is looking for a passionate Business Analyst with strong analytical and communication skills to support our mission of being the most scientific, technically proficient, and inclusive organization in the world. The team is responsible for developing data-driven analytical solutions that increase the efficiency and quality of services provided to Amazon"s growing global employee base. This includes workforce planning and headcount demand modeling, customer experience measurement, centralized metrics reporting for AET leadership, and forecasting analytics, all designed to translate complex operational data into actionable decisions.

We are looking for a motivated Business Analyst with strong technical skills who desires to work at the intersection of workforce planning, business intelligence, and data engineering. PXT (People eXperience and Technology) is responsible for the employee experience and HR technology serving all Amazonians worldwide. In this role, you will own PXT FORCE (Forecasting & Resource Capacity Engine), our system for forecasting headcount demand and managing variable workforce capacity across PXT. You will build and maintain Redshift SQL pipelines and develop Amazon Quick reporting. You will work closely with our Capacity Planning team and partners across Finance, HR, Operations, Data Science, and Business Intelligence Engineering to ensure our headcount plans are accurate and decision-ready. You will actively explore and integrate AI tools into your work, identifying opportunities to automate repeatable processes and enhance the speed and quality of analytical outputs.

Key job responsibilities

  • Own and maintain Redshift SQL pipelines, data models, and Amazon Quick reporting dashboards that support headcount demand planning and capacity forecasting across PXT"s variable workforce
  • Partner with the Capacity Planning team to translate contact volume forecasts and staffing assumptions into accurate, decision-ready headcount plans
  • Support Operational Planning, Quarterly Guidance, and Monthly R&O cycles by producing the data inputs, analysis, and reporting that shape headcount targets across PXT"s variable workforce
  • Identify, validate, and resolve data quality issues across source systems, ensuring analytical outputs are accurate and trustworthy
  • Partner with Finance, HR, Operations, Data Scientists, Applied Scientists, and Business Intelligence Engineers to deliver analytical solutions that drive operational decisions
  • Actively explore and integrate AI tools to automate repeatable analytical processes, improve efficiency, and enhance the quality of outputs
  • Document methodology, data logic, and business rules to ensure analytical solutions are reproducible, scalable, and transferable

About the Company

A

Amazon.com Inc

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
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles