**Experienced Full Stack Data Analyst – Cloud-Based Data Research and Insights**

**Join arenaflex, a leading airline company, in a remote data entry role that offers a competitive hourly rate of $26.** **About arenaflex** arenaflex is a dynamic and innovative airline company that is committed to providing exceptional customer experiences. With a strong focus on data-driven decision-making, we are seeking a highly skilled and motivated Data Analyst to join our team. As a Data Analyst at arenaflex, you will play a critical role in driving business growth and improvement by analyzing complex data sets, identifying trends, and developing actionable insights. **Job Summary** We are seeking an experienced Full Stack Data Analyst to join our team in a remote data entry role. The successful candidate will be responsible for designing, executing, and conveying advanced quantitative analyses and models using data research, statistical, AI, product management, and programming skills to drive direction and actions. The ideal candidate will have a strong background in data analysis, excellent communication skills, and the ability to work collaboratively with cross-functional teams. **Key Responsibilities** * Design, execute, and convey advanced quantitative analyses and models using data research, statistical, AI, product management, and programming skills to drive direction and actions. * Utilize data design and programming skills to clean data, create data streams and pipelines for models to run, and deliver them to production. * Collaborate with partner teams (valuation, yield management, finance, and others) to deeply understand the issues being addressed and enhance existing and create new production models and digital solutions. * Present and present the results of analyses and models with partners, including upper-level management. * Work primarily in Python, SQL, or other coding languages. * Develop hypotheses to test and understand what can and cannot be inferred from the results. * Guide and collaborate with other colleagues. * Develop and maintain code standards, participate in code reviews, and report work processes, models, and code. * Assist with reporting as needed. **Essential Qualifications** * Bachelor's degree or higher in Finance, Computer Science, Statistics, Mathematics, Engineering, or related field required. * Graduate degree in Computer Science, Information Science, Business Analysis, or other scientifically centered programs preferred. * Past professional use of SQL, Python, R, or other coding languages. * Past professional use of statistical analysis required. * 0-2 years of relevant professional experience. * Experience in a carrier valuation, yield or income management, income analysis, income systems, or similar role preferred. * Strong understanding of data research, statistical, AI, product management, and programming solutions and procedures. **Preferred Qualifications** * Demonstrated ability to perform quantitative analysis and model development independently. * Ability to apply ideas from finance and estimating management to coding models and insightful items. * Ability to summarize scientific methodologies and items and present insights and actions to upper management effectively. * Strong logical and quantitative skills. * Strong written and verbal communication skills. * Ability to work cooperatively with different divisions, partners, and staff. **Work Environment and Culture** * This role can be based at our headquarters in Denver, CO or anywhere in the US through a remote work plan (occasional travel to Denver from an Outskirts updated city required). * If remote, you should be able to follow our remote work policies, including skill and comfort level telecommuting with access to a fast internet connection. * If headquarters-based, a standard office climate, sufficiently heated and cooled. **Compensation and Benefits** * Competitive hourly rate of $26. * Comprehensive benefits package, including health, dental, and vision insurance. * 401(k) matching program. * Paid time off and holidays. * Opportunities for professional growth and development. **How to Apply** If you are a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. Apply for this job