Senior Analyst - Engineering Data Science

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 work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape.

Job overview and responsibilities

The Technical Operations Analytics team is looking for a passionate Senior Analyst to turn data into information and information into insight to drive business decisions. The group strives to get the right work done on the right aircraft at the right location at the right time. To do this, we partner with business owners to pursue analytical opportunities within maintenance planning, supply chain, aircraft health monitoring, aircraft engineering, maintenance execution, and maintenance programs, among other areas. We are seeking creative, driven, and detail-oriented individuals who enjoy tackling complex problems quantitatively. Individuals who have a desire to improve the performance of United's fleet and maintenance operation are encouraged to apply. This role requires not only analytics skills, but also strategic thinking and strong internal/external client relationships.

• Mines data, identifies key issues, applies rigorous statistical analysis, and presents findings
• Review existing reports, dashboards, and performance indicators to modify, enhance, and develop new reports
• Extracts data from a variety of sources for use in analysis and models; completes ad-hoc reporting and data analysis
• Continuously develop and demonstrate improved analysis methodologies
• Encourage development and sharing of internal best practices and foster collaboration with internal and external teams
• Develop statistical models to improve forecasts, labor productivity, operational metrics, financial performance, etc
• Prepare and deliver presentations on operational performance to organizational leaders

Qualifications

What's needed to succeed (Minimum Qualifications):

• Bachelor's degree in a quantitative field like Math, Statistics, Operations Research, Economics, Computer Science, Engineering, or related field required
• At least 2-4 years of experience in analytics
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Proven comfort and an intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified - and sometimes undiscovered - needs
• Knowledge of predictive modeling, test design, and database querying
• Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships
• Familiarity with relational database structures
• Superior attention to accuracy and detail
• Adept in building presentations for senior leadership team
• Expertise in at least one of the following areas: econometrics, machine learning, optimization, simulation, text analytics
• Query relational databases using SQL (Teradata, Microsoft, Oracle, MySQL, etc.)
• Transform and model data in a quantitative analysis software package or language (Python, R, SAS, etc)
• Experience using data visualization tools (ie. Spotfire, Tableau, ggplot2, etc.)
• Work autonomously to learn from subject matter experts, identify gaps in data, and generate quantitative solutions to problems
• Must be willing and able to travel 5% domestic
• Must be willing and able to work a hybrid schedule, 3 days in-office at the CSC-Willis Tower in Chicago, IL
• Must be legally authorized to work in the United States for any employer without sponsorship
• 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):

• Master's degree in a quantitative field like Math, Statistics, Operations
• Be adept in building presentations for senior leadership team
• At least 1 years of Airline experience preferred
• Basic programming skills for web scraping and experience of working with non-structured data
• Expertise in more than one of the following areas: econometrics, machine learning, optimization, simulation, text analytics
• Understanding of airline maintenance operations