Key job responsibilities
Work with business stakeholders, TIPMs, and senior team members to gather requirements for well-defined reporting and analysis needs, then translate them into queries, data models, and dashboards.
Build and maintain datasets, ETL pipelines, and dashboards using SQL, Python, and AWS tools such as Redshift, S3, and QuickSight
Follow team standards for code reviews, data quality checks, documentation, and monitoring so your work is reliable and reusable
Run pipeline health checks, investigate data issues, and find the root cause, escalating to the right owners when needed
Analyze data to answer business questions and clearly explain what you found, including caveats, to stakeholders and your team
Use metric definitions and the team's data contracts consistently, and point out gaps or inconsistencies you find in source data
Try out AI tools and new approaches that make analysis faster or more insightful
Keep learning from code reviews, feedback, and senior teammates, and share what you learn with the team.
A day in the life
A day in the life Your morning starts with dashboard pipeline health checks and a look at new intake requests. Then you dig into your current project: learning the source data, asking what decision a metric will support, and confirming requirements with your stakeholder before you write code. In the afternoon, you might build or update a dataset, refactor part of a legacy pipeline with guidance from a senior engineer, or walk a stakeholder through a draft dashboard. You finish the day by documenting what you learned and submitting your code for review. You'll be expected to understand a problem before building, and to be open about what you're unsure of.
About the team
We're the PAX Data and Analytics team, a small group of BI Engineers and Data Engineers inside one of the world's largest and fastest-growing data center organizations. We started less than a year ago with one mandate: turn operational complexity into decision-ready clarity.
We do more than build dashboards. We build context that helps leaders act with confidence and helps operators catch problems before they become incidents. Our work covers the full data lifecycle: sourcing raw operational data, building reliable pipelines, and delivering self-service tools that hundreds of people use every day. Every pipeline we ship and every standard we define becomes the foundation for what comes next. We're young, we're scrappy, and we're building something that will outlast us. It's a great place to learn and grow your career.
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis
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, VA, Herndon - 82,300.00 - 144,000.00 USD annually
USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually
