Description Job Overview and ResponsibilitiesResponsible for providing dedicated digital support, both for the historical applications and new applications utilized by Configuration Management & Technical Records. Additionally, aid in support of merging several FAA Approved and FAA Accepted IT systems/applications that CMTR is responsible for maintaining per GMM requirements and UA Operational Specifications.
- Extract datasets from various sources (e.g. CRM systems, web analytics tools) using SQL queries or ETL (extract, transform, load) tools
- Use scripting languages (e.g. Python, R) or specialized tools (e.g. Spotfire, PowerBI) to automate data preparation steps
- Collaborate with data engineers to resolve data integrity issues at the source when required.
- Collaborate with stakeholders to understand business and technical requirements.
- Translate business objectives into technical specifications and system requirements. Translate user stories or specifications into technical tasks
- Develop interactive dashboards to present insights in a clear and intuitive format
- Set up application monitoring and logging. Perform updates or patches to address vulnerabilities or critical bugs
- Ability to project scope and collect business requirements to build innovation and enhancement to the internal departmental tools and workflows
QualificationsWhat's needed to succeed (Minimum Qualifications):- High school diploma or equivalent
- SIDA badge eligible (required)
- 3 years of aviation data experience
- Oracle, C#, Python, SQL, PS1, GitHub, Power BI, Palantir/Foundry, Visual Studio, Spotfire, other Microsoft Suite products
- 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):- Bachelor's degree
- Computer Science or Engineering
- Demonstrates an understanding of the capabilities and limitations of generative AI tools and leverages them for research, analysis content creation and problem solving. Applies critical thinking to validate AI generated outputs while adhering to company policies related to responsible AI use, data privacy and security
