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Analyst - Supply Chain Analytics

United Airlines -
Gurugram, Haryana

Apply Now

Job details

Full-time
4 hours ago

Benefits

Health insurance

Qualifications

Microsoft Powerpoint
Microsoft Word
Statistics
Power BI
SAS
Relational databases
NumPy
R
English
Databases
SQL
Pandas
Bachelor's degree
Machine learning
Scripting
Predictive analytics
Data science
Data visualization
Python
Analytics

Full job description

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to leverage advanced analytics to optimize our supply chain and keep our fleet in tip-top shape, join our Tech Ops analytics experts.

Job overview and responsibilities
The Analyst - Supply Chain Analytics, is responsible for executing advanced analytical solutions for the United Airlines Supply Chain organization including inventory planning, vendor management, components and engines shops, warehousing, and logistics functions. Projects can include the development of dashboards, periodical and ad-hoc reports, and presentation decks. In addition, the successful candidate will own a portfolio of existing dashboards, reports and presentation decks being used the Supply Chain teams.

Apply statistical methods and basic data science techniques to analyze supply chain performance, identify trends, and perform root-cause analysis on operational bottlenecks
Work closely with other Supply Chain teams to ensure data consistency and to solve complex business problems
Utilize SQL to manipulate relational databases and leverage tools like PowerBI to build robust reporting solutions
Manage and execute project plans under time constraints, ensuring that all reporting remains accurate, reliable, and punctual
Proactively experiment with new tools, including emerging or role-specific AI solutions, while being aware of their practical limitations, including accuracy, data confidentiality/privacy, bias, and the need for human judgment

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.

Qualifications

What’s needed to succeed (Minimum Qualifications):

Bachelor's degree in a quantitative field such as math, statistics or engineering required
2+ years of experience in an analytics or data science role required
Proficiency in writing complex queries in SQL to manipulate large relational databases
Strong programming experience in Python (pandas, NumPy, scikit-learn) for data manipulation and statistical modeling
Experience building dashboards and reports in a data visualization tool such as MS PowerBI
Experience using MS-Office tools, i.e. MS-Excel, MS-Powerpoint, MS-Word
Familiarity with spreadsheet modeling
Fundamentals of statistical methods
Organized, self-motivated and comfortable executing toward project plans under time constraints
Must be legally authorized to work in India for any employer without sponsorship
Must be fluent in English (written and spoken)
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications)

Experience in operations research, engineering or related field involving solving complex business problems preferred
Prior professional experience, internships, or advanced academic projects utilizing Python (pandas/scikit-learn) and complex SQL for predictive modeling, statistical analysis, and data manipulation
Experience developing dashboards and executive reports
Familiarity with the airline industry
Familiarity building executive level presentations
Programming experience in a scripting language such as Python, SAS or R

Apply Now

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