Experienced Full Stack Data Analyst – Business Intelligence and Data Science Expert for United Airlines Remote Work Opportunity

About United Airlines

United Airlines is a world-renowned carrier that has been connecting people and joining the world for over a century. As a leader in the aviation industry, we pride ourselves on our commitment to diversity, equity, and inclusion. Our team is comprised of individuals from diverse backgrounds, cultures, and perspectives, working together to build the best airline in the world. At United Airlines, we believe that our unique and comprehensive workforce is the key to our success, and we strive to create a work environment that is inclusive, supportive, and empowering.

Our Mission

Our mission at United Airlines is to be the best airline for our employees, customers, and the communities we serve. We achieve this by fostering a culture of innovation, collaboration, and continuous improvement. Our team is passionate about using technology to drive business growth, improve customer experience, and enhance operational efficiency. We are committed to creating a workplace that is engaging, challenging, and rewarding, where our employees can grow and develop their skills and careers.

About the Role

We are seeking an experienced Full Stack Data Analyst to join our Business Intelligence and Data Science team. As a key member of our team, you will play a critical role in driving business growth, improving customer experience, and enhancing operational efficiency through data-driven insights and recommendations. You will work closely with cross-functional teams to develop and implement data-driven solutions, leveraging your expertise in data analysis, machine learning, and business acumen.

Key Responsibilities

• Execute solutions for business issues using data analysis, data mining, streamlining tools, statistical modeling, and AI methods
• Continuously develop and showcase improved analysis strategies
• Have the ability to extract insights from large volumes of data and clearly communicate important triggers and recommendations
• Determine a business issue and the available data and identify what analysis and modeling procedures can be applied to answer a business question
• This position is subject to local conditions and requirements. Expat assignments and sponsorship for business visas, even on a time-limited visa status, will not be granted. This position is for United Airlines Business Services Pvt. Ltd - a fully owned subsidiary of United Airlines Inc.
• United Airlines is an equal opportunity employer. United Airlines initiates, employs, trains, adjusts, and advances without regard to race, religion, color, national origin, sex, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.

Essential Qualifications

• Bachelor's degree in a quantitative field such as Math, Statistics, Operations Research, or MBA
• At least 2+ years of experience in data analysis/AI
• Proven comfort and academic interest in working with extremely large datasets, and proficiency in predictive modeling
• Strong knowledge of either R or Python
• Ability to control and analyze complex, high-volume, high-dimensionality data from various sources to identify patterns and relationships
• Understanding of how and when to apply predictive and AI procedures like logistic regression, random forests, GBM, Brain Nets, SVM, etc.
• Ability to use data set querying tools and be able to write complex queries and techniques using Teradata SQL or potentially Microsoft TSQL
• Hands-on experience in using Large Data environments (Hadoop/Flume), API Gateways, and non-structured data will be an added advantage
• Ability to communicate complex quantitative analysis and calculations in a clear, accurate, and compelling way
• Strong written and verbal English communication skills
• Around 4 months and a half of travel to US in a year
• Should be legally authorized to work in India for any business without sponsorship
• Fruitful completion of interview expected to meet work capability
• Dependable, reliable attendance is a fundamental requirement of the position
• Should be conversant in English and Hindi (written and spoken)
• Fruitful completion of interview expected to meet work capability
• Dependable, reliable attendance is a fundamental requirement of the position

Preferred Qualifications

• Graduate degree in a quantitative field like Math, Statistics, Operations Research, or MBA

Work Environment and Culture

At United Airlines, we pride ourselves on creating a work environment that is inclusive, supportive, and empowering. Our team is passionate about using technology to drive business growth, improve customer experience, and enhance operational efficiency. We are committed to creating a workplace that is engaging, challenging, and rewarding, where our employees can grow and develop their skills and careers.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including medical coverage, parental leave, and space available travel. We also offer opportunities for career growth and development, including training and professional development programs.

Career Growth Opportunities and Learning Benefits

We are committed to creating a workplace that is engaging, challenging, and rewarding, where our employees can grow and develop their skills and careers. We offer opportunities for career growth and development, including training and professional development programs.

How to Apply

If you are a motivated and talented individual who is passionate about using data to drive business growth and improve customer experience, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!

Equal Opportunity Employer

United Airlines is an equal opportunity employer. We initiate, employ, train, adjust, and advance without regard to race, religion, color, national origin, sex, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.