Job Detail

Senior Analyst – Enterprise Data Analytics - United Airlines

Date Posted:Oct 05, 2021

Job Detail

  • Location:
    Gurgaon, Haryana, India
  • Company:
  • Type:
    Full Time
  • Career Level:
    Mid-Senior level
  • Experience:
    4 Year
  • Gender:
    No Preference
  • Degree:
  • Apply Before:
    Nov 30, 2021

Job Description

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"        
  • 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
  • Provides ad-hoc support to ongoing digital marketing projects during scoping, reporting and including the creation of new visualization techniques
  • Timely provides feedback to internal teams and leadership on assigned projects

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.


  • At least 4+ years of experience in analytics 
  • Bachelor's degree 
  • Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships 
  • 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 reporting tools – Spotfire
  • Be able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner
  • 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


  • Experience in Digital Marketing / Campaign Analytics will be preferred    
  • Master's Degree in a quantitative field like Math, Statistics and/or MBA preferred     
  • 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 Hands-on knowledge in either predictive modeling or in setting up business intelligence solutions    
  • Strong knowledge of either SAS, R or Python
  • Basic programming skills for web scraping and experience of working with non-structured data will be a plus



Skills Required

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Company Overview

Chicago, Illinois, United States of America

A career is a journey - take yours farther For over 90 years, we've been connecting people and uniting the world. We have seven US hub locations, including hubs in the four largest cities in the United States and over 90,000 employees residing in eve... Read More

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