Hispanic Alliance for Career Enhancement
Senior Analyst - Engineering Data Science
Hispanic Alliance for Career Enhancement, Chicago, Illinois, United States, 60290
Overview
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
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
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
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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
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
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
#J-18808-Ljbffr