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United Airlines

Senior Manager - Strategy and Advanced Analytics

United Airlines, Chicago

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Senior Manager - Strategy and Advanced Analytics

Join to apply for the Senior Manager - Strategy and Advanced Analytics role at United Airlines

Senior Manager - Strategy and Advanced Analytics

Join to apply for the Senior Manager - Strategy and Advanced Analytics role at United Airlines

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
United's Digital Technology team crafts, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Our Values : At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do! Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best place for our employees, customers, and everyone we serve. We can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with innovative technology to build the best airline in the history of aviation!
With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world.
Job Overview And Responsibilities
As a Sr. Manager – Strategy & Advanced Analytics, you will define and implement advanced analytics initiatives that drive incremental revenue, improve efficiency and/or customer happiness including big data, machine learning models, statistical models, optimization models, etc. Will be tasked with identifying and analyzing opportunities as well as handling the execution and delivery of projects. Will be working with and running internal and external partner teams both in the US and off-shore. This role will require critical thinking and strong customer focus. Will manage a team and be responsible for providing coaching, mentoring and development.

  • Lead the development and implementation of projects that apply industrial engineering, operations research, statistical and machine learning techniques and involve team members across all data analytics areas, vendors and external partners to tackle critical business problems.
  • Activities involve the development of models and analytical tools to provide decision making support for sophisticated technical functions and big data such as employee and aircraft scheduling, labor planning, inventory management, supply chain management, and real time asset deployment
  • Engage with partner organizations and other team members to identify business value, drive consensus around project scope, value, delivery timelines, and follow-on work, if any
  • Responsible for handling the work of a team of a few individuals who craft and/or implement mathematical models with an orientation to locating opportunity and delivering value
  • Train, develop, and mentor analysts across the analytics team
  • Own the development of the team by assuring a high level of technical skills and knowledge for one or more: optimization modeling tools (such as CPLEX, OPL etc.), or statistical modeling tools (such as SAS, R, etc.), or knowledge of ML/AI toolkits and associated programming (such as Python, etc.), or BI tools (such as Spotfire, Tableau, etc.)
Qualifications
Minimum Qualifications
  • BS in operations research, statistics, engineering, ops research, analytics or a related quantitative field
  • 7+ years of relevant experience
  • 1+ year of project lead experience.
  • Experienced in analyzing sophisticated, data from various sources to identify patterns and relationships
  • Strong analytical ability, applies analytical and pro-active thinking to client agenda to ensure robust, appropriate, value client solutions
  • Must be legally authorized to work in the United States for any employer without sponsorship
Preferred Qualifications
  • Master's degree
  • Advanced degree (M.S., Ph.D., or equivalent)
  • 5+ years of experience at successive levels of quantitative and analytical fields e.g. IE, OR, Statistics, ML/AI, financial modeling etc.
  • 3+ years of airline business experience
  • Knowledge/familiarity of using and/or driving work on Big Data ecosystems and database querying languages (SQL, Python, etc.)
  • Knowledge and/or experience of one or more of: optimization modeling, or statistical modeling, or ML/AI
  • Tableau – Spotfire experience
The base pay range for this role is $137,275.00 to $178,670.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact to request accommodation.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Business Development and Sales
  • Industries

    Airlines and Aviation

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