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

At arenaflex, we're revolutionizing the way we approach data-driven decision making. As a key member of our Income Supervisory team, you'll play a crucial role in driving growth and innovation through data science and analytics. If you're passionate about leveraging data to drive business outcomes, we want to hear from you.

About arenaflex

arenaflex is a leading airline that's committed to providing exceptional customer experiences. With a strong focus on innovation and data-driven decision making, we're constantly looking for talented individuals who share our passion for data science and analytics. Our team is dedicated to delivering high-quality results and driving business growth through data-driven insights.

Job Summary

We're seeking an experienced Full Stack Data Analyst to join our Income Supervisory team as an Ancillary Revenue Data Scientist. As a key member of this team, you'll be responsible for creating and applying data-driven solutions to drive revenue growth and improve customer experiences. You'll work closely with our data science team to develop and implement data-driven models and algorithms that drive business outcomes.

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 arenaflex's offers, and how to better address their needs
• Create 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 stages of the code lifecycle
• Explain the results of quantitative analysis and multi-feature models and conveys 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 Subordinate 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 revenue 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 technologies
• 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
• Strong analytical and quantitative skills
• Strong written and verbal communication skills
• Ability to work cooperatively with different departments, partners, and staff

Work Environment

* Standard office PC equipment

• Typical office climate, sufficiently heated and cooled
• Minimal physical exertion required

Supervision Received

* General Guidance: The occupant usually receives little guidance on everyday work and receives general guidelines on new tasks.

Positions Managed

* None

Disclaimer

The above statements are intended to describe the general nature and level of work expected of the referred position; they are not intended to be a comprehensive list of all responsibilities, duties, and abilities expected of individuals in this role. Please be advised that responsibilities and assumptions about this position may be subject to change.

arenaflex is an Equal Opportunity Employer

arenaflex is an equal opportunity employer and, as such, is committed to providing equal employment opportunities to all qualified candidates regardless of race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status, or any other protected characteristic under applicable federal, state, or local laws. This policy applies to all aspects of employment, including hiring, recruiting, promotion, advancement, termination, layoff, compensation, benefits, and training.

arenaflex is a Zero Tolerance Drug-Free Workplace

All prospective employees are subject to pre-employment testing for the following substances and their metabolites: Marijuana, Cocaine, Amphetamines, Narcotics, and Phencyclidine (PCP). Additionally, any candidate who has tested positive for any of these substances or alcohol at a previous employer will be considered ineligible for employment with arenaflex.

How to Apply

If you're passionate about data science and analytics and want to join a dynamic team that's committed to driving business growth through data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume, cover letter, and any other required documents, through our online application portal. Apply Now! Apply for this job