Experienced Data Analyst and Ancillary Revenue Data Scientist – Full Time Remote Opportunity for Career Growth and Development at blithequark
Introduction to blithequark
At blithequark, we are passionate about innovation and excellence in the aviation industry. As a leading player in the market, we are committed to providing exceptional services to our customers and creating a dynamic work environment for our employees. Our team is dedicated to driving growth, improving efficiency, and fostering a culture of collaboration and continuous learning. If you are a motivated and talented individual looking for a challenging and rewarding career opportunity, we invite you to join our team as a Data Analyst and Ancillary Revenue Data Scientist.
Job Overview
In this role, you will be responsible for creating and applying factual displaying and data science methods to drive ancillary revenue performance. As a key member of the Revenue Management team, you will own the code development of new scientific products and models, and work with internal stakeholders and external partners to achieve rapid growth in customer-driven, tailored offers and business processes. You will join a data-driven and high-profile team, utilizing your experience in data to drive results and make a significant impact on our business.
Key Responsibilities
- Design, implement, and deliver advanced quantitative analyses and multi-feature models to drive navigation and actions, either by experts or by systems
- Leverage big data, capabilities in cloud environments, and multiple sources of data to identify signals and integrate those signals into modeling for interpretation, prediction, or production
- Lead in fulfilling other general analysis requirements
- Perform Exploratory Data Analysis (EDA) to gain insight into customers' shopping behaviors, their response to blithequark's offers, and how to better address their needs
- Develop modeling hypotheses involving multivariate statistical approaches as well as current AI-based expressive approaches
- Lead the implementation and industrialization of the developed models in the production system, including all stages of the code lifecycle
- Interpret the results of quantitative analysis and multi-feature models and communicate to stakeholders, including senior management
- Work primarily in Python, MS SQL, and other big data environments
- Provide expertise in coding and applied economics across Pricing, Revenue Management, and Ancillary teams
- Create and send customer-driven analysis, using cluster analysis, collaborative filtering, and randomized flexibility testing
- Create and maintain code standards, code library, and workflows where industrialized processes are essential
- Participate in peer reviews of scientific designs and code to advance revenue growth
- Assist, mentor, and guide junior colleagues
- Aid in the transition to streaming data for multiple sources
Essential Qualifications
To be successful in this role, you will need to have a Bachelor's degree or higher in Economics, Computer Science, Statistics, Math, or a related field. A graduate degree in Computer Science, Data Science, Business Analytics, or other systematically centered programs is preferred. You should have experience with MS SQL, Python, and other big data technologies, as well as statistical analysis software. Two years of professional data analysis experience is preferred, and experience in airline pricing, yield or revenue management, revenue analysis, revenue systems, or a similar role is highly desirable.
Preferred Qualifications
- Experience with cloud-based data platforms and machine learning algorithms
- Strong understanding of data structures, algorithms, and software design patterns
- Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams
- Strong problem-solving skills, with the ability to analyze complex data sets and develop creative solutions
- Ability to work in a fast-paced environment, with multiple priorities and deadlines
Skills and Competencies
To excel in this role, you will need to have a strong foundation in data analysis, machine learning, and software development. You should be proficient in Python, MS SQL, and other big data technologies, as well as statistical analysis software. You should also have excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Strong problem-solving skills, with the ability to analyze complex data sets and develop creative solutions, are essential.
Key Competencies
- Demonstrated ability to perform quantitative analysis and model development independently
- Ability to apply concepts from economics and pricing management to coding models and scientific products
- Ability to generalize scientific methodologies and products and present insights and actions to upper management effectively
- Excellent analytical and quantitative skills
- Excellent written and verbal communication skills
- Strong attention to detail for reporting and analysis
- Ability to work collaboratively with different departments, partners, and staff
Career Growth and Development
At blithequark, we are committed to providing our employees with opportunities for career growth and development. As a Data Analyst and Ancillary Revenue Data Scientist, you will have the opportunity to work on challenging projects, develop new skills, and advance your career. We offer a range of training and development programs, including mentorship, coaching, and formal training courses. Our goal is to help you achieve your career goals and reach your full potential.
Work Environment and Company Culture
Our work environment is dynamic, collaborative, and fast-paced. We value innovation, creativity, and teamwork, and we are committed to creating a positive and inclusive work culture. Our employees are passionate about their work, and we are dedicated to providing a supportive and stimulating environment that allows them to thrive. We offer a range of benefits, including flexible working hours, remote work options, and a comprehensive benefits package.
Compensation and Benefits
We offer a competitive salary and benefits package, including health insurance, retirement savings, and paid time off. Our compensation package is designed to recognize and reward your contributions to the company, and we are committed to providing a fair and equitable compensation structure. We also offer a range of perks and benefits, including free parking, on-site fitness classes, and a comprehensive employee assistance program.
Conclusion
If you are a motivated and talented individual looking for a challenging and rewarding career opportunity, we invite you to join our team as a Data Analyst and Ancillary Revenue Data Scientist. At blithequark, we are committed to providing our employees with opportunities for career growth and development, and we are dedicated to creating a positive and inclusive work culture. Apply now to join our team and take the first step towards an exciting and rewarding career.
How to Apply
To apply for this role, please submit your application through our website. You will need to provide a resume, cover letter, and any other supporting documents. We thank all applicants for their interest; however, only those selected for an interview will be contacted. blithequark is an equal opportunity employer, and we are committed to providing a fair and inclusive hiring process.
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