United Airlines Senior Manager - Operations Data & Analytics in Chicago, Illinois

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Information Technology

The United IT team designs, develops and maintains massively scaling technology solutions that are brought to life with innovative architectures, data analytics and digital solutions.

Job overview and responsibilities

This exciting role will deepen and broaden your skills with leading edge technologies in the data and analytics space, and present you with opportunities to work with all aspects of the airline operation. Team members have a chance to make a difference in operational efficiency and help to improve operations and customer experiences through data-driven insights. Let’s explore!

Our Operations Data Analytics team is responsible for providing data driven insights & driving innovation across the Operations organization (e.g. Tech Ops, Network Ops, Flight Ops, and Airport Ops etc.).

As a Sr Manager, you will lead a team that partners with business and operations technology teams to define and execute data analytics initiatives that create sustainable improvements in operational efficiencies. This role requires business intuition, project management experience, and a working knowledge of analytical processes and tools.

  • Partner with operational business stakeholders to identify key initiatives, and engage data analytics team members to execute delivery of sustainable solutions to business problems, using data analysis, advanced analytics and data engineering best practices

  • Track projects from ideation to completion, including creating project roadmaps, project plans and requirements; Lead status meetings and manage frequent communication to business stakeholders, IT teams, and senior leadership, as required

  • Leverage data from a variety of sources to analyze business performance, identify areas of opportunity, and provide actionable insights to operations leaders and front-line personnel

  • Coordinate the testing of downstream data or applications to validate data accuracy/quality

  • Manage and mentor junior team members; lead hiring process for operations team members


  • Experience managing people

  • 3+ years of experience in analytical role (analysis, information science, data visualization or other relevant quantitative field)

  • 5+ years of relevant professional experience

  • Familiarity with database interface tools, SQL and programming concepts, data management best practices and willingness to learn

  • Outstanding writing, communication and presentation skills

  • Proven proficiency with Microsoft Excel and PowerPoint

  • Passionate about data analytics and visionary for how it can be applied, with strong strategic/critical thinking and problem-solving skills to complement

  • Strong organization and project leadership skills, and strong attention to detail

  • Ability to thrive in project environments that often start with uncertain requirements or outcomes; ability to put definition and structure around problems and projects

  • Experience working with large datasets and reporting or visualization tools, ability to tell a story using data

  • Ability to proactively manage stakeholder expectations on current and future business needs

  • Ability to communicate complex quantitative concepts in a clear, precise and actionable manner

  • Must be a team-focused individual

  • Bachelor's degree in quantitative field (statistics, engineering, business analytics, information systems, aviation management or related degree)

  • Must be legally authorized to work in the United States for any employer without sponsorship

  • Successful completion of interview required to meet job qualification

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


  • Advanced Degree in Data Sciences

  • Experience with statistical tools and concepts (R, SPSS, SAS)

  • Experience with programming language such as Python, Spark

  • Experience with Tableau, Spotfire or other visualization tools

  • Experience with statistical analysis and modeling including linear regression, segmentation, non-linear predictive (e.g. logistic) regression and machine learning

  • Experience working within various facets of an airline operation

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT

Division: 21 Digital Products & Analytics

Function: Information Technology

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled