Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

Our Network Operations team works around the clock running United’s global operation, safely, reliably and efficiently. From dispatching and routing our fleet to coordinating with maintenance line planning and crew scheduling, this team makes caring connections with our internal customers and ultimately, United’s customers. From pushback to landing, the Network Operations team is the eyes and ears on the ground no matter where in the world your United flight takes you.

Job overview and responsibilities

An analyst who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. This role will support AO NOC Optimization group in United's Chicago headquarters by gathering data, conducting analyses, building and maintaining dashboards, executive reporting and assist in ad-hoc decision support. Excellent time management and communication skills are keys to success in this role as the role requires multi-tasking on several initiatives simultaneously.

• Build high-quality dashboards, tools and reports for NOC/AO leadership, eTeam, front-line management, and individual business teams throughout the organization
• Automate existing manual reports and processes to improve operational throughput
• Curate tables and views that serve as the "single source of truth" for United's NOC/AO data
• Build predictive models and analyze results for dissemination of insights to United leadership
• Prepare presentations for United leadership and external stakeholders
• Design meaningful metrics that indicate operational health and inform operational decisions
• Document the data landscape, maintain an inventory of reports

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

What’s needed to succeed (Minimum Qualifications):

• Bachelor's degree required
• Fresh college graduate or with 0–1 year work experience
• Very strong problem-solving and analytical thinking capabilities with the ability to collect, organize, analyze, and disseminate significant amounts of
• information with attention to detail and accuracy
• Understanding of data structures, relationships, and efficient transformations
• Knowledge and application of data visualization best practices
• Familiarity with writing complex queries and procedures using both traditional and modern technologies/languages (i.e. SQL, Python, Spark, etc.)
• Data visualization skills using one or more reporting tools (i.e. Power BI, Spotfire, Tableau, etc.) to produce meaningful, elegant dashboards
• Proficient in Microsoft Excel and PowerPoint
• Ability to learn what a business team does, then design a data/technology solution that connects business processes with quantifiable outcomes
• Excellent interpersonal and communication skills
• Must be adept at juggling several projects and initiatives simultaneously through appropriate prioritization
• Must be legally authorized to work in (Location) for any employer without sponsorship
• Must be fluent in English (written and spoken)
• Successful completion of interview required to meet job qualification

• Reliable, punctual attendance is an essential function of the position

  
  What will help you propel from the pack (Preferred Qualifications):

• Master's Degree in a quantitative field like Math, Statistics, Operations Research and/or MBA preferred
• 1-2 years analysis experience preferred
• Familiarity with various parts of the data ecosystem (acquisition, engineering, storage, management, analysis, visualization, and deployment) preferred
• Exposure to statistical and analytical methods preferred
• Experience with JavaScript, D3, HTML, CSS / front-end development