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