**Experienced Full Stack Data Analyst – Ancillary Revenue Data Scientist at arenaflex**

Join arenaflex, a leading airline in the industry, as we embark on an exciting journey to revolutionize the way we approach ancillary revenue. As an Experienced Full Stack Data Analyst – Ancillary Revenue Data Scientist, you will play a pivotal role in driving business growth and innovation by leveraging your expertise in data science and analytics. **About arenaflex** arenaflex is a dynamic and forward-thinking airline that prides itself on its commitment to innovation and customer satisfaction. With a strong focus on data-driven decision-making, we are constantly seeking talented individuals who can help us stay ahead of the curve. Our team is passionate about using data to drive results, and we are excited to welcome a new member who shares our vision. **Job Summary** As an Experienced Full Stack Data Analyst – Ancillary Revenue Data Scientist, you will be responsible for creating and applying advanced data visualization and data science techniques to drive ancillary revenue growth. You will work closely with our income management team to develop and implement new scientific models and tools, and collaborate with internal partners and external stakeholders to achieve rapid growth in customer-driven, tailored offers and business processes. **Key Responsibilities** * Design, execute, and deliver advanced quantitative analyses and multi-feature models to drive navigation and actions, either by experts or by systems; * Leverage large data, capabilities in cloud environments, and multiple sources of data to identify signals and integrate those signals into modeling for explanation, prediction, or creation; * Lead in satisfying other general analysis requirements; * Perform Exploratory Data Analysis (EDA) to gain insights into customers' shopping behaviors, their response to offers, and how to better address their needs; * Develop modeling theories involving multivariate statistical methods as well as current AI-based expressive methods; * Lead the execution and industrialization of the developed models in the production system, including all phases of the code lifecycle; * Explain the results of quantitative analysis and multi-feature models and convey to partners, including senior management; * Work primarily in Python, MS SQL, and other large data environments; * Provide expertise in coding and applied finance across Valuation, Income Management, and Ancillary groups; * Create and deliver customer-driven analysis, using cluster analysis, collaborative filtering, and randomized flexibility testing; * Develop and maintain code guidelines, code library, and work processes where industrialized processes are essential; * Participate in peer reviews of scientific plans and code to promote income growth; * Assist, tutor, and guide junior colleagues; * Aid the transition to streaming data for multiple sources. **Essential Qualifications** * Four-year college education or higher in Finance, Computer Science, Statistics, Math, or related field required; * Graduate degree in Computer Science, Information Science, Business Analysis, or other systematically centered programs liked; * Past use of MS SQL, Python, and other large data innovations; * Past professional use of statistical analysis software liked; * Two (2) years of professional data analysis liked; * Experience in a carrier pricing, yield-or income management, income analysis, income systems, or similar job liked. **Preferred Qualifications** * Demonstrated ability to perform quantitative analysis and model development independently; * Ability to apply concepts from finance and valuation management to coding models and scientific items; * Ability to summarize scientific methodologies and items and present insights and actions to upper management proficiently; * Great analytical and quantitative skills; * Great written and verbal communication skills; * Should be detail-oriented for reporting and analysis; * Ability to work cooperatively with different departments, partners, and staff. **Skills and Competencies** * Strong understanding of data science and analytics principles; * Proficiency in Python, MS SQL, and other large data environments; * Experience with statistical analysis software and machine learning algorithms; * Strong analytical and problem-solving skills; * Excellent communication and presentation skills; * Ability to work independently and collaboratively in a team environment; * Strong attention to detail and organizational skills. **Career Growth Opportunities and Learning Benefits** At arenaflex, we believe in investing in our employees' growth and development. As an Experienced Full Stack Data Analyst – Ancillary Revenue Data Scientist, you will have opportunities to: * Work on high-impact projects that drive business growth and innovation; * Collaborate with cross-functional teams to develop and implement new scientific models and tools; * Participate in peer reviews and feedback sessions to promote income growth; * Attend industry conferences and workshops to stay up-to-date with the latest trends and technologies; * Pursue continuing education and training opportunities to enhance your skills and knowledge. **Work Environment and Company Culture** arenaflex is a dynamic and fast-paced work environment that values innovation, collaboration, and customer satisfaction. Our team is passionate about using data to drive results, and we are committed to creating a culture that is inclusive, diverse, and supportive. As an Experienced Full Stack Data Analyst – Ancillary Revenue Data Scientist, you will have the opportunity to work with a talented team of professionals who share your vision and values. **Compensation, Perks, and Benefits** arenaflex offers a competitive compensation package that includes: * Salary: $70-$80/hour; * Benefits: Comprehensive health insurance, retirement plan, and paid time off; * Perks: Flexible work arrangements, professional development opportunities, and a dynamic work environment. **How to Apply** If you are a motivated and talented individual who is passionate about using data to drive results, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume, cover letter, and any relevant documents, through our website. Apply Now! We thank all applicants for their interest in this position. However, only those selected for an interview will be contacted. arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. Apply for this job