Remote Data Entry Specialist - Frontier Airlines

Join our team as a Remote Data Entry Specialist and take your career to new heights! We're seeking a highly skilled and detail-oriented individual to join our team at Frontier Airlines, where you'll play a critical role in driving business success through data-driven insights. As a Remote Data Entry Specialist, you'll have the opportunity to work from the comfort of your own home, with a competitive salary of $26/hour, and be part of a vibrant community that values innovation and collaboration.

In this role, you'll be responsible for designing, implementing, and delivering advanced quantitative analyses and models using operations research, statistical, AI, product management, and software skills to drive direction and actions. You'll work closely with cross-functional teams to understand business problems, research, and deploy solutions, from process automation to identifying significant new insights in data. If you're passionate about data analysis, have excellent problem-solving skills, and are eager to work in a fast-paced environment, we want to hear from you!

Job Details:

• Hiring Organization: Frontier Airlines
• Post Name: Remote Data Entry Specialist
• Qualifications: Bachelor's Degree in Economics, Computer Science, Statistics, Mathematics, Engineering, or related field
• Industry: Private
• Employment Type: Full Time
• Work Hours: 8 Hours
• Salary: $26/Hour
• Locations: Denver, USA (remote work options available)

Job Description:

As a Remote Data Entry Specialist, you will:

• Design, implement, and deliver advanced quantitative analyses and models using operations research, statistical, AI, product management, and software skills
• Utilize data engineering and software skills to clean data, create data streams and pipelines for models to run, and deploy them to production
• Collaborate with cross-functional teams to understand business problems and develop new production models and digital solutions
• Present results of analyses and models to stakeholders, 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
• Mentor and collaborate with other team members
• Maintain code standards, participate in code reviews, and document workflows, models, and code

Requirements:

• Bachelor's Degree or higher in Economics, Computer Science, Statistics, Mathematics, Engineering, or related field
• Graduate degree in Computer Science, Data Science, Business Analytics, or other scientifically focused programs preferred
• Prior professional use of SQL, Python, R, or other coding languages
• Prior professional use of statistical analysis required
• 0-2 years of relevant professional experience
• Experience in airline pricing, yield or revenue management, revenue analysis, revenue systems, or similar role preferred

Skills and Abilities:

• Proven ability to perform quantitative analysis and model development independently
• Able to apply concepts from economics and pricing management to coding models and analytical products
• Able to generalize analytical approaches and products and present insights and actions to upper management effectively
• Understanding of operations research, statistical, AI, product management, and software solutions and processes
• Able to technically deliver data engineering solutions
• Excellent analytical and quantitative skills
• Excellent written and verbal communication skills
• Attention to detail for reporting and analysis
• Ability to work collaboratively with different departments, partners, and staff

Work Environment:

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 a Frontier-serviced city required). If remote, you must have the ability to follow our remote work policies, including proficiency and comfort level working from home with access to a high-speed internet connection.

Submit Your Application

Seize this opportunity to make a significant impact. Apply now and take the first step towards a rewarding new role.