Business Intelligence Engineer - NASC Forecasting, NASC Sales & Operations Planning

Amazon • Jersey City, NJ

1d

About The Position

North America Sort Centers (NASC) is looking for a Business Intelligence
Engineer within the NASC Sales and Operations Planning (S&OP) team. The Sort
centers network is the critical middle mile solution in the Amazon
Transportation Services (ATS) group that links the fulfillment centers to the
last mile/customers. The experience of our customers is dependent upon our
ability to accurately, timely, and efficiently sort and deliver packages across
North America.

We are looking for a detail-oriented, highly analytical, innovative, hands-on,
technically skilled, and customer-obsessed analyst who will help in developing
best-in-class solutions for the middle mile network, to deliver high quality
customer experiences while minimizing cost and improving fulfillment speed. This
role will require the candidate to work cross functionally and understand the
long term requirements of the all programs that leverage the sort centers. The
ideal candidate will have excellent analytical and communication skills and the
ability to thrive in ambiguous situations. The role also offers the candidate
the opportunity to work on the Operations Research based planning tools and
partner with data and research scientists to define and develop new tools and
improve existing products.

Requirements

• Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field
• Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
• 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 building and maintaining basic data artifacts (e.g., ETL, data models, queries)
• Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in software development and experience working with customers with a passion for delivering exceptional service

Nice To Haves

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

Responsibilities

• Contributing the analytics space including the BI architecture, tools and modeling to support the operational planning cycles.
• Strong quantitative skills to develop reporting mechanisms to deliver strategic insights.
• Working closely with Network Planners, Product Managers, Data Scientists and various planning teams to drive business decisions and alignment with business stakeholders.
• Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle).
• Ability to break down and solve complex problems while actively engaging with internal partners throughout the organization to meet and exceed customer service levels & transport-related KPI’s.
• Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation while driving scalable solutions.
• Continue to move forward in the face of ambiguity and imperfect data. Find a solution around the problem that still maintains a high analytical bar.
• Communicate analysis results and techniques, both verbally and in writing, clearly and confidently to peers and business partners.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level