Senior Analyst - Tech Ops Data Analytics

United Airlines•Chicago, IL

15h•Hybrid

About The Position

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 insights 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 experts to pursue analytical opportunities within maintenance planning, supply chain, 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. High-level responsibilities of the role include: Explore and mine data, identify key issues, apply rigorous statistical analysis, and present findings with our stakeholders and organizational leaders Extract data from a variety of sources for use in analysis and models; complete ad-hoc reporting and data analysis Review existing reports, dashboards, and performance indicators to modify, enhance, and develop new reports Develop statistical models to improve forecasts, labor efficiency, operational metrics, financial performance, etc. Encourage development and sharing of internal best practices and foster collaboration with internal and external teams NOTE: This position is based at the CSC - Willis Tower, located in Chicago, IL. and considered as a hybrid work-schedule working Tuesday, Wednesday, and Thursday in office. However, that may evolve with the needs of the company.

Requirements

Bachelor's degree in a quantitative field like Math, Statistics, Operations Research, Economics, Computer Science, Engineering or related field
At least 3+ year of work experience in analytics
Proven comfort and an intellectual curiosity for working with large sets of data with attention to detail and accuracy, and pulling in relevant team members to address identified - and sometimes undiscovered - needs
Knowledge of predictive modeling, test design, relational database structures, and database querying
Strong analytical skills with experience in collecting, manipulating, and analyzing complex and high-volume data from various sources to highlight patterns and relationships
Experience in building presentations for senior leadership
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. PowerBI, Spotfire, Tableau, ggplot2, etc.)
Work autonomously to learn from subject matter experts, identify gaps in data, and generate quantitative solutions to problems
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

Nice To Haves

Master's degree in a quantitative field like Math, Statistics, Operations
At least 1 year of Airline experience preferred
Basic programming skills for web scraping and experience of working with non-structured data
Understanding of airline maintenance operations

Responsibilities

Explore and mine data, identify key issues, apply rigorous statistical analysis, and present findings with our stakeholders and organizational leaders
Extract data from a variety of sources for use in analysis and models; complete ad-hoc reporting and data analysis
Review existing reports, dashboards, and performance indicators to modify, enhance, and develop new reports
Develop statistical models to improve forecasts, labor efficiency, operational metrics, financial performance, etc.
Encourage development and sharing of internal best practices and foster collaboration with internal and external teams