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United Airlines Manager - Enterprise Analytics IND in Gurgaon, India

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Technology Operations/ IT

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

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:

  • Manage a team of data analysts by guiding them on modeling techniques, approaches and methodologies

  • 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

  • Encourage development and 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.


  • Bachelor's degree

  • Deep technical experience in distributed computing, machine learning, and statistics-related work

  • Hands on experience in setting up using Big Data ecosystems like Hadoop/Spark

  • 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 –needs

  • Have extensive knowledge of predictive modeling, test design and Database querying

  • Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships

  • Strong knowledge of either SAS, 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 familiar with one or more reporting tools – Spotfire, Tableau / Oracle OBIEE / Brio

  • Be able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner

  • Be adept at juggling several projects and initiatives simultaneously through appropriate prioritization

  • At least 6 years of experience in analytics

  • At least 2 years of experience in a supervisory role

  • Must be fluent in English and Hindi (written and spoken)

  • About 4-6 weeks of travel to US in a year required

  • Must be legally authorized to work in India for any employer without sponsorship

  • Successful completion of interview required to meet job qualification

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


  • Master's Degree in a quantitative field like Math, Statistics, Operations Research and/or MBA

  • 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

Division: 47 Technology/IT

Function: Professional Opportunities

Equal Opportunity Employer – Minorities/Women/Veterans/Disabled