Aviation Analytics Lead

United Airlines; Chicago (IL); On-site; USD 90,000 - 117,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Parental leave

Employee assistance program

Commuter benefits

Flight privileges

Paid holidays

Paid time off

401(k)

Job summary

United Airlines is seeking a Senior Analyst in its Technical Operations Analytics team in Chicago to turn data into insights that drive maintenance planning, supply chain, and operations decisions. You will craft analytical solutions, build predictive models, and present findings to senior leaders to influence fleet performance.

The role demands strong SQL and data visualization skills, experience with large datasets, and collaboration across internal and external teams.

Qualifications

• Bachelor's degree in quantitative fields such as Math, Statistics, OR Economics or CS.
• 3+ years analytics experience.
• Experience with large data sets, attention to detail.
• Knowledge of predictive modeling and database querying.
• Strong analytical skills with ability to present to senior leadership.
• SQL querying across relational databases (Teradata, Oracle, MySQL).

Responsibilities

• Explore data, run rigorous analyses, and present findings to stakeholders.
• Extract data from multiple sources for analysis and ad-hoc reports.
• Review and enhance dashboards and performance indicators.
• Develop statistical models to improve forecasts and efficiency.
• Collaborate with internal/external teams and share best practices.

Skills

Data analytics

Statistical modeling

Data visualization

SQL querying

Python/R/SAS

Education

Bachelor's degree in quantitative fields

Master's degree preferred

Tools

SQL

Python

R

SAS

PowerBI

Tableau

Spotfire

ggplot2

Job description

United Airlines is seeking a Senior Analyst in its Technical Operations Analytics team in Chicago to turn data into insights that drive maintenance planning, supply chain, and operations decisions. You will craft analytical solutions, build predictive models, and present findings to senior leaders to influence fleet performance.

The role demands strong SQL and data visualization skills, experience with large datasets, and collaboration across internal and external teams.