**Experienced Full Stack Data Analyst – Learning Insights and Analytics Development at arenaflex**

Remote Full-time
**Join arenaflex, a leading airline company, in a dynamic role that combines data analysis, business acumen, and innovative thinking to drive business growth and customer satisfaction.** **About arenaflex** arenaflex is a world-renowned airline company that has been connecting people to what's important in their lives for over four decades. With a strong commitment to customer satisfaction, reliability, and affordability, arenaflex has become a leader in the airline industry. Our company culture is built on a foundation of creativity, innovation, and collaboration, and we're always looking for talented individuals who share our values. **Job Summary** We're seeking an experienced Full Stack Data Analyst to join our team at arenaflex. As a Senior Learning Data Analyst, you'll play a critical role in developing dashboards, presentations, analytics, and business insights for our internal training department, Southwest Airlines University. You'll use advanced tools and techniques to combine data from various sources, provide insights to key stakeholders, and measure the effectiveness of our training programs. If you're a data-driven, results-oriented individual with a passion for innovation and collaboration, we want to hear from you! **Responsibilities** * Apply expertise and customer needs assessment to create effective solutions that meet business requirements * Analyze and mitigate risks associated with equipment and projects * Apply advanced expertise in data cleaning strategies and tools, including Alteryx, data visualization tools like Tableau, and other data analytics tools, to create insights that support data and visualization requests * Apply advanced expertise in SQL, Python, or other reporting languages or tools, to create and maintain advanced solutions for reporting training data * Support escalated and complex data troubleshooting for business customers * Gather and interpret requirements to convert business needs into actionable data and present findings * Partner with senior leaders to gain insights and measurements to convert business needs into actionable data presentation requirements * Identify strengths and weaknesses of potential solutions, conclusions, or processes to problems * Understand and estimate the effort and cost of a solution * Work with the Business Intelligence Analyst to resolve issues and share expertise of tools and strategies * May perform other job duties as directed by Employee's Leaders **Knowledge, Skills, and Abilities** * Ability to apply advanced tools to quickly understand and accurately define complex problems to systematically analyze and weigh options to recommend solutions * Ability to work under stressful conditions and manage time effectively * Ability to prioritize tasks to meet departmental targets and goals * Be a self-starter and able to work with a minimal amount of supervision to perform assignments and projects * Understanding of Company policies (e.g., Appearance and Attendance) and expectations of SWA Culture * Ability to work effectively independently or in a strong customer service and/or team environment * Willingness and ability to work nights, weekends, and travel as required * Ability to work under tight time constraints and at times, in stressful conditions * Ability to design and conduct analyses, as well as synthesize recommendations * Ability to develop, present, and effectively communicate techniques and ideas to various audiences **Education** * Required: High School Diploma or GED **Experience** * Advanced level experience, with extensive expertise in: + Acquiring data using various tools, including: SQL, Python, Alteryx, Qlikm, Attunity, or other comparable toolsets + Visualization and presentation experience * Preferred: Advanced Excel skills (pivot tables, Visual Basic) * Preferred: Working experience in Air Operations training and Advance Qualification Program (AQP) **Work Environment and Company Culture** arenaflex is committed to providing a flexible work environment that fosters camaraderie, collaboration, and innovation. Our Corporate Campus in Dallas, TX, is a vibrant and dynamic space that encourages face-to-face interaction and creativity. As a Senior Learning Data Analyst, you'll have the opportunity to work with a talented team of professionals who share your passion for data analysis and business growth. **Compensation, Perks, and Benefits** arenaflex offers a competitive compensation package, including a salary range of $25-35/hour. We also offer a range of benefits, including health insurance, retirement plans, and paid time off. Our company culture is built on a foundation of respect, empathy, and open communication, and we're committed to providing a work environment that supports the well-being and growth of our employees. **Career Growth Opportunities and Learning Benefits** arenaflex is committed to providing opportunities for career growth and development. As a Senior Learning Data Analyst, you'll have the opportunity to work on a wide range of projects and develop advanced skills in data analysis, business acumen, and innovative thinking. We also offer a range of training and development programs, including workshops, conferences, and online courses, to help you stay up-to-date with the latest tools and techniques in the field. **How to Apply** If you're a motivated and results-driven individual with a passion for data analysis and business growth, we want to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you and learn more about your qualifications and experience. **Equal Opportunity Employer** arenaflex is an Equal Opportunity Employer. We're committed to diversity, equity, and inclusion, and we welcome candidates from all backgrounds and experiences. We're proud to be an employer of choice for people with disabilities and are committed to providing a work environment that is accessible and inclusive for all employees. Apply for this job
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