Data Analytics Associate: Turn Data into Strategic Insights

United Airlines; Chicago (IL); On-site; USD 54,000 - 70,000; Full time

Benefits offered by this job

Flight privileges

Medical benefits

Paid time off

Job summary

United Airlines is seeking a Technical Operations Analytics Analyst to turn data into insights that drive fleet performance and maintenance decisions. You will extract data, build analyses, and communicate results to stakeholders across maintenance planning, supply chain, and engineering teams.

The role emphasizes quantitative analysis, data visualization, and building models to forecast labor efficiency and operational metrics while collaborating with subject-matter experts.

Qualifications

• Bachelor's degree in a quantitative field or related discipline.
• 1 year of work experience in analytics or internship in airline/analytical role.
• Understanding of data visualization standard processes.
• Curiosity for working with data and patterns.
• Ability to query, transform and model data (SQL, Python, R, SAS).
• Ability to visualize data to tell a story.

Responsibilities

• Extract data from diverse sources for analysis and modeling.
• Complete ad-hoc reporting and data analyses.
• Identify relevant data and interpret patterns in complex datasets.
• Analyze structured and unstructured data and communicate findings clearly.
• Develop statistical models to improve forecasts, labor efficiency, metrics, and financial performance.
• Share findings with stakeholders and drive data-informed decisions.

Skills

Analytical mindset

Data storytelling

Strong communication

Attention to detail

SQL

Python

R

SAS

PowerBI

Education

Bachelor's degree

Bachelor's degree in a quantitative field

Tools

SQL

Python

R

SAS

PowerBI

Job description

United Airlines is seeking a Technical Operations Analytics Analyst to turn data into insights that drive fleet performance and maintenance decisions. You will extract data, build analyses, and communicate results to stakeholders across maintenance planning, supply chain, and engineering teams.

The role emphasizes quantitative analysis, data visualization, and building models to forecast labor efficiency and operational metrics while collaborating with subject-matter experts.