BIE II, SCOT NEST

Amazon Inc.; Bellevue (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Bellevue, WA is seeking a Business Intelligence Engineer in Network Evolution Science & Tech (NEST) to design, develop, and deliver reporting for UPX and CPF/UPO expansion across networks worldwide.

You will own measurement frameworks, dashboards, and ETL pipelines, partnering with Science, S&OP, Engineering, Product, and Finance to provide data-driven guidance to senior leadership and drive automation across launches.

Qualifications

• 3+ years analysing and interpreting data with Redshift, Oracle, NoSQL.
• 1+ years SQL, ETL, or Oracle experience.
• 1+ years processing large, multi-source datasets.
• 1+ years performing statistical analysis.
• 1+ years developing automated reporting.
• 3+ years in the job offered or a related occupation.
• Experience with data visualization using Tableau or Quicksight.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with statistical packages such as R, SAS and Matlab.
• Experience using SQL to pull data and Python for data processing.

Responsibilities

• Own end-to-end design, development, and maintenance of automated BI reporting for UPX and CPF/UPO expansion.
• Build the network launch measurement dashboards tracking adoption and benefits.
• Design model-performance guardrail reporting with scalable alerts.
• Own BAU reporting: weekly flash, WBR/MBR/QBR packs, launch tracking.
• Architect dimensional data models and ETL pipelines into a single source of truth.
• Standardise metrics with Science, S&OP and platform teams.
• Apply AI tools to automate reporting workflows.
• Translate analyses into narratives for Director- to VP-level audiences.

Skills

SQL & ETL proficiency

Statistical analysis

Data visualization (Tableau/Quicksight

Python scripting for data processing

Handling multi-source large datasets

Data modeling & warehousing

Analytical thinking

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field

Tools

Tableau

Quicksight

Redshift

Oracle

NoSQL

Python

Job description

Job ID: 10585495 | Amazon.com Services LLC

As a Business Intelligence Engineer in Network Evolution Science & Tech (NEST), you will own the design, development, and delivery of reporting and measurement solutions that power the global expansion of our flagship planning platforms — UPX (Unified Planner Experience) and CPF/UPO (the coordination and optimization layer) — into emerging fulfillment networks worldwide. You will work at the intersection of supply chain planning, operational intelligence, and optimization-model performance. Your reporting products will directly inform decisions that affect planner productivity, plan quality, and automation adoption as we scale from a single network in production to the full universe of non-core networks: Sub Same Day, Quick Commerce, Distribution Centres (SDC/1DC/rDC), AMXL, Rural and Super Rural+, AWD, and more, across all regions. You will design the measurement frameworks that show whether each new network launch is delivering accurate, trusted, adopted plans — before gaps reach decision-makers. And you will own the reporting suite that keeps the NEST function accountable to launch milestones, model performance, and benefits realisation. You will operate independently, managing ambiguity with rigor and judgment — much of what you measure does not exist yet and will be defined as networks onboard. You will partner closely with Science, Engineering, Product, S&OP planning teams, UPO/UPX platform partners, and Finance. You will present your analysis and recommendations independently to senior leadership, influence launch and prioritisation decisions through data-backed arguments, and contribute to the team's AI-driven transformation agenda.

Key job responsibilities

• Own end-to-end design, development, and maintenance of automated BI reporting that measures UPX and CPF/UPO expansion across every network × country — model accuracy, planner adoption, plan‑vs‑actuals, and benefits realisation.
• Build the network launch and adoption measurement framework: dashboards and pipelines tracking optimisation‑model accuracy, planner cycle time, adoption rates, and manual‑process retirement as networks onboard (Sub Same Day, Quick Commerce, SDC, 1DC, rDC, AMXL, Rural and Super Rural+, AWD).
• Design model‑performance and plan‑quality guardrail reporting with scalable alerting that flags when outputs or upstream signals breach thresholds, enabling proactive intervention.
• Own the BAU reporting suite: weekly flash reports, WBR/MBR/QBR packs, peak readiness dashboards, launch‑milestone tracking, and forecast‑accuracy reporting.
• Architect dimensional data models and ETL pipelines integrating upstream signals, UPO/CPF, UPX, and network planning tools into a single source of truth.
• Drive metric standardisation across networks by partnering with Science, S&OP, and platform teams on definitions, methodologies, and data quality.
• Independently apply AI tools to automate reporting workflows and improve speed, quality, and self‑service.
• Translate deep‑dive analyses into narratives for Director‑ to VP‑level audiences, and own data quality, pipeline reliability, SLAs, and on‑call support.

Basic Qualifications

• 3+ years of analysing 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
• 3+ years of in the job offered or a related occupation experience
• 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• 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.

• 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

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, Bellevue - 99,500.00 - 160,000.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.