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United’s Digital Technology team designs, 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 airline for our employees, customers, and everyone we serve, and 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 cutting-edge 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
United Airlines’ Enterprise Data Analytics department partners with business and technology leaders across the company to transform data analytics into a competitive advantage. An offshore team based in Delhi, India will work closely with this group and support it with complementing skills and capabilities. The key objectives are to improve operating performance, boost customer experience and drive incremental revenue by embedding data in decision making across all levels of the organization.
The team is currently looking for a leader 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. Developing and maintaining strong relationships with key stakeholders in US as well as training and retaining key talent within the offshore team are keys to success in this role. This role will require strategic thinking and strong client focus. High-level responsibilities of the role include:
Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques
Continuously develop and demonstrate improved analysis methodologies
Ensure alignment and prioritization with business objectives and initiatives – help business owners make faster, smarter decisions
Sharing of internal best practices and foster collaboration with internal and external teams
Create and develop presentations for United leadership and external stakeholders
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.
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.
Required
Bachelor’s degree
At least 2+ years of experience in analytics
Proven comfort and an intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified – and sometimes undiscovered
Strong knowledge of either R or Python
Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL
Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships
Be familiar with one or more reporting tools – Spotfire/Tableau
Be able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner
Exhibit written and spoken English fluency
Must be legally authorized to work in India for any employer without sponsorship
Must be fluent in English and Hindi (written and spoken)
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position
Preferred
Master’s Degree in a quantitative field like Math, Statistics and/or MBA
Hands on experience with Big Data products will be a big plus
Basic programming skills for web scraping and experience of working with non-structured data will be a plus
Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT
