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Senior Inflight Data Analyst

2 months ago

Saint Paul Minnesota, United States Endeavor Air Full time
About Us

Endeavor Air, a leading regional airline subsidiary of Delta Air Lines, prides itself on delivering a safe, reliable, and customer-centric travel experience. Operating over 900 daily flights to 140+ destinations in the United States, Canada, and the Caribbean, Endeavor Air sets the standard for excellence in the regional airline industry.

Our Culture

We recognize that our employees are our greatest assets, and we are committed to fostering a diverse, culturally-rich, and safe work environment where employees are treated with dignity and respect. Our culture is built on safety, excellence, and teamwork, offering limitless potential for aviation professionals looking to start or continue their careers.

Our Team

Our team promotes an inclusive environment in all aspects of the airline and our operation. As an EEO employer, we provide opportunities for all qualified candidates without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran, or disabled status.

Job Summary

The Senior Inflight Data Analyst is an integral part of our transition into AQP (Advanced Qualification Program within the FAA), serving as our data expert for all IFS learning programs and quality assurance activity. The Data Analyst should be proficient in data collection systems to maximize the value of extracted data.

Responsibilities
  • Develop expertise in data collection systems, FAA data reporting needs, and data analysis to identify proficiency across workforce.
  • Collect and analyze evaluation and audit data for analysis and summary.
  • Working knowledge of statistical methodologies, data analysis techniques, data management, dashboards, modeling, querying, and workflows.
  • Document data processing decisions, summarize the quality of data, and analyze and synthesize research findings into key insights for stakeholders.
  • Create comprehensible and usable information and infographics to convey information to internal and external stakeholders.
  • Performs basic and complex data analyses on both quantitative and qualitative data relevant to needs of the department and Company.
  • Monitor data quality daily and ensure operational and program data is complete and accurate.
  • Work with the Company's software vendor(s) to thoroughly understand the intricacies of the data recording and collection systems, how they operate, and ways to improve both the system and data output.
  • Implement solutions that support data governance, data fidelity and quality initiatives, dashboards, and data transformation through modeling, querying, and workflows.
Competencies Required
  • Ethics and Values - Supports positive change and diversity that will support healthy organizational growth. Serves as a champion for projects and programs that are beneficial to the company.
  • Knows Our Business - Is informed and knowledgeable about trends in the field. Is willing to use own knowledge to constructively challenge institutional practices and systems that might be improved to increase organizational results.
  • Building Trust & Decision Making - Treats all team members in a respectful, courteous, and professional manner, and values the input of all. Recognizes when analysis is sufficient to proceed with making a good decision.
  • Drives For Results by Inspiring Others - Develops clear workable plans with timelines, goals, and ways to measure results. Fosters engagement across different teams.
  • Know Your Team & Leading People - Works inclusively with others on the team and across the organization to reach common goals. Is approachable and friendly. Is skilled at valuing differences; recognizing others; and listening for understanding.
Qualifications
  • Bachelor's degree in computer science information systems, statistics, or related field.
  • 2 - 5 years of related experience in an analytical role.
  • Capacity to work with large amounts of data, extract relevant information, and draw logical conclusions.
  • Ability to pay attention to detail when working with data to make accurate conclusions and predictions.
  • Advanced knowledge of data analytics, cleaning, and preparation.
  • Proficiency with data modeling and data analysis tools as well as statistical and mathematical analysis.
  • Advanced skills in Python programming language experience manipulating data in pandas.
  • Expertise or advanced skills in Excel including programming languages (VBA).
  • PC proficient in other Microsoft Office software, specifically Word, Outlook, and PowerPoint.
  • Experience and comfort in working in various database software and web-based reporting tools.
  • Critical thinking and problem-solving skills.
  • Must be capable of managing multiple projects simultaneously and working independently.
  • Must possess strong interpersonal, communication, and presentation skills.