Analyst - Supply Chain Analytics

• The Analyst
• Supply Chain Analytics at United Airlines is responsible for executing advanced analytical solutions across inventory planning, vendor management, warehousing, and logistics. The role involves developing dashboards, reports, and presentation decks, applying statistical and data science techniques, and leveraging SQL and PowerBI for reporting. Candidates must have a bachelor's degree in a quantitative field, at least 2 years' experience in analytics or data science, proficiency in SQL and Python, and strong organisational skills. Legal authorisation to work in India and fluency in English are required. Preferred qualifications include experience in operations research, prior use of AI tools, and familiarity with the airline industry. The position requires reliable attendance and successful completion of an interview. The Analyst
• Supply Chain Analytics at United Airlines plays a pivotal role in supporting the Technical Operations team by leveraging advanced analytics to optimise inventory planning, vendor management, warehousing, and logistics. This position is responsible for developing dashboards, reports, and presentation decks, as well as applying statistical and data science techniques to analyse supply chain performance and identify trends. The role requires close collaboration with supply chain teams to ensure data consistency and address complex business challenges. Candidates will also be expected to experiment with new tools, including AI solutions, while maintaining data privacy and ethical standards. This is a local-based role with no expatriate sponsorship available. 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, Num Py, 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
• Must have leveraged AI tools such as GPT, Co-pilot, Claude, Google Gemini for project execution, or in process improvement

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

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.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, Num Py, 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
• Must have leveraged AI tools such as GPT, Co-pilot, Claude, Google Gemini for project execution, or in process improvement

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

Equal Opportunity Employer
The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo.

• All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. 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 Responsibilities
• Responsible for executing advanced analytical solutions for inventory planning, vendor management, components and engines shops, warehousing, and logistics functions.
• Take ownership of developing dashboards, periodical and ad-hoc reports, and presentation decks for the Supply Chain teams.
• Apply statistical methods and basic data science techniques to analyse supply chain performance and identify trends.
• Collaborate cross-functionally to ensure data consistency and solve complex business problems with other Supply Chain teams.
• Utilise SQL to manipulate relational databases and leverage tools like PowerBI to build robust reporting solutions.
• Manage and execute project plans under time constraints, ensuring 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 and ethical considerations. Skills
• Proficiency in writing complex queries in SQL to manipulate large relational databases is essential.
• Strong programming experience in Python, including pandas, Num Py, and scikit-learn, for data manipulation and statistical modelling is required.
• Experience building dashboards and reports in a data visualisation tool such as MS PowerBI is necessary.
• Familiarity with MS Office tools, including MS Excel, MS PowerPoint, and MS Word, as well as spreadsheet modelling, is expected.
• A solid understanding of fundamentals of statistical methods is required.
• Experience leveraging AI tools such as GPT, Co-pilot, Claude, or Google Gemini for project execution or process improvement is necessary.
• Experience in operations research, engineering, or related fields involving solving complex business problems is preferred.
• Prior professional experience, internships, or advanced academic projects utilising Python, pandas/scikit-learn, and complex SQL for predictive modelling, statistical analysis, and data manipulation is advantageous.
• Experience developing dashboards and executive reports, as well as familiarity with the airline industry and building executive-level presentations, is preferred.
• Programming experience in a scripting language such as Python, SAS, or R is desirable. Education
• A bachelor's degree in a quantitative field such as mathematics, statistics, or engineering is required.