Data Analyst, Air Network Control Center

Overview

Amazon Air (AIR) is seeking a Data Analyst to join the Network Control Center (NCC) Cargo Operations team located at the Cincinnati/Northern Kentucky International Airport (KCVG). NCC Cargo's primary focus is to provide technical information pulls regarding customer cargo movement, operational disruptions, and performance data for the AIR global network. Critical thinking is necessary for required communication between stakeholders, which will impact complex network execution and contingency planning.

This role is based at the CVG
19 site located in Erlanger, KY and is not available for remote work.

• Develop and implement new tools to support the business
• Create, support, and continuously improve reports and metrics that support the business operations
• Convert data into digestible business intelligence and actionable information using tools like Quick Sight
• Shape and deliver key metrics, reports, and indicators by which our business will assess its performance
• Dive deep into large data sets to answer specific business questions using Excel, SQL, and other data manipulation languages
• Work directly with business teams to utilize metrics and analysis to determine improvement opportunities
• Actively manage the turnaround time and deliverables of projects, anticipate risks, and resolve issues
• Publish performance metrics to assist with driving business results
• Understand business impact of trends and make decisions based on available data
• Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
• Communicate via telephone, instant messaging, and video telecommunications
• Work independently in a high-pressure environment

• Individuals hired into this position will have unescorted access privileges to airport security identification display areas (SIDA). Eligibility for this role is limited to individuals who pass a security screening, as required by the FAA, DHS, and TSA (as applicable).
• Must be able to secure appropriate airport authority and/or US Customs security badges, if applicable.
• Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role.

• This position requires an employee’s full and unimpaired skills and judgment to safely execute their job duties to ensure the safety and security of Amazon Air personnel, third-party contractors, Airport personnel, cargo, and equipment.
• This position is therefore designated as a safety sensitive position and is subject to mandatory pre-employment and, where permitted, post-hire drug testing.

Your day will be a dynamic blend of data exploration, visualization, and strategic communication. You'll dive into comprehensive datasets, craft compelling visualizations, and collaborate with cross-functional teams to uncover operational improvements. Expect to move seamlessly between technical analysis and collaborative problem-solving.

Your day will be a dynamic blend of data exploration, visualization, and strategic communication. You'll dive into comprehensive datasets, craft compelling visualizations, and collaborate with cross-functional teams to uncover operational improvements. Expect to move seamlessly between technical analysis and collaborative problem-solving.

• Bachelor's degree or equivalent
• 3+ years of working with computers and Microsoft Office products and applications experience
• Work 40 hours/week, and overtime as required
• 1+ years of professional or military experience
• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
• Experience with SQL and data visualization tools such as Tableau
• Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

• Experience with end-to-end project management
• Experience using very large datasets
• Experience in a business analyst, data analyst or equivalent role
• Experience with programming (preferably Python) to process data
• Previous aviation experience

Amazon is an equal…