S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Business Intelligence Engineer II, Amazon Key
XX
Business Intelligence Engineer, Supply Chain Execution TeamAmazon • Austin, Texas, United States
Postuler Maintenant
XX

Business Intelligence Engineer, Supply Chain Execution Team

Amazon
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Postuler Maintenant

À propos

Business Intelligence Engineer, Supply Chain Execution Team Job ID: 10454050 | Amazon.com Services LLC
Key Job Responsibilities
Define and maintain analytical frameworks that translate operational knowledge into quantified target states across fulfillment network domains, working with supply chain partners to document what good performance looks like and how to measure distance from target.
Build and support data pipelines and dashboards that evaluate whether plans are converging toward target states, including automated reporting on plan deviations, constraint violations, and execution misses with root‑cause attribution.
Audit upstream data inputs that feed the planning chain—including transit time configurations, forecast accuracy, inventory health, and capacity assumptions—to ensure the analytical foundation remains reliable.
Partner with supply chain optimization and operations teams to surface where system outcomes diverge from network‑level goals, quantify the impact, and support investigation into root causes.
Contribute to evolving our measurement systems as the network changes, updating target‑state definitions and detection methodologies to stay relevant as new fulfillment centers open and operational patterns shift.
A day in the life You’ll focus on strengthening the analytical definitions and measurement systems that guide our fulfillment network’s planning and execution. Your day might include collaborating with supply chain planners to refine how we measure network balance across regions, validating the data inputs that feed our planning systems, or investigating why a weekly plan deviated from reality and documenting the root cause for the team to learn from.
You’ll work across multiple domains—from demand forecasting accuracy to inventory positioning to transfer effectiveness—each requiring you to translate operational complexity into clear, measurable definitions. You’ll partner with our supply chain optimization team to understand how their systems perform at the network level, then surface where outcomes could improve. You’ll also support our operations teams by ensuring they have the dashboards and reports they need to make decisions at their level of detail.
Beyond routine responsibilities, you’ll contribute to evolving how we think about planning. As the network changes—new fulfillment centers open, regionalization shifts, seasonal patterns evolve—you’ll help us update our target‑state definitions so our metrics stay relevant. You’ll participate in designing new measurement frameworks that move us from understanding what happened to predicting what will happen next.
About the team Our customers—S&OP Planning, supply chain optimization teams, fulfillment center operations, and transportation leadership—rely on us to answer their most pressing questions. We’re excited to work with someone who understands that great analytics only matter if they change how people make decisions. You’ll join a team that measures success not by the elegance of our models, but by whether our partners act on our insights and whether those actions improve network outcomes.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience
1+ years of SQL, ETL or Oracle experience
1+ years of processing large, multi‑dimensional datasets from multiple sources experience
1+ years of performing statistical analysis experience
1+ years of developing automated reporting experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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, TN, Nashville - 94,600.00 - 160,000.00 USD annually USA, TX, Austin - 99,500.00 - 160,000.00 USD annually USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
#J-18808-Ljbffr
  • Austin, Texas, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.