Financial Analyst

About SkyWest

SkyWest is the largest regional airline in the United States and partners with four major airline carriers. More importantly, we’re known for our reliability, service, and our professional employees who operate more than 2,100 flights each day throughout North America. We have been esteemed as one of “America’s Best Employers” by Forbes and are known for an industry-leading workforce, an exceptional leadership team, and our continued solid operational and economic performance.

SkyWest employees enjoy a distinctive and unmatched culture of teamwork, respect, quality, and professionalism, along with world-class benefits like 401(k) match, Performance Rewards, health care, retirement, and discounted travel worldwide.

Primary Job Duties

SkyWest is seeking highly motivated analytical minded individuals to join our team dedicated to data analytics. This team will partner with departments across the organization to identify opportunities, improve processes, optimize resources, and support data-driven decision making.

Successful candidates will transform complex data into actionable insights, develop reporting and analytical solutions, and collaborate with cross-functional teams to implement measurable business improvements. Analysts will be expected to identify opportunities, evaluate potential solutions, and support implementation efforts through completion while utilizing modern analytics, automation, and AI tools to improve productivity and business outcomes.

• • Analyze operational, financial, maintenance, supply chain, safety, and business data to identify trends, risks, and opportunities.
  • Develop reports, dashboards, models, and visualizations that support data-driven decision making.
  • Partner with stakeholders across departments to understand business challenges and recommend practical solutions.
  • Gather, clean, validate, and organize data from multiple systems and sources.
  • Identify process improvement opportunities and support implementation of efficiency initiatives.
  • Monitor key performance indicators (KPIs) and communicate findings to leadership.
  • Assist in developing and/or improving forecasts, budgets, and long-range planning models.
  • Perform root cause analysis and provide recommendations for corrective actions.
  • Support automation initiatives through reporting tools, business intelligence platforms, and data analytics solutions.
  • Document business requirements, methodologies, assumptions, and analytical findings.
  • Present analytical results and recommendations to leaders and stakeholders throughout the organization.
  • Collaborate with subject matter experts to ensure recommendations align with operational objectives.
  • Support special projects, strategic initiatives, and ad hoc analytical requests.
  • Maintain data integrity, governance standards, and reporting accuracy.
  • Perform other duties as assigned.

Minimum Requirements

• Bachelor's degree in Business, Finance, Accounting, Economics, Statistics, Mathematics, Data Analytics, Engineering, Information Systems, or a related field; or equivalent combination of education and experience.
• Strong analytical and problem-solving skills.
• Advanced proficiency in Microsoft Excel.
• Ability to analyze large data sets and synthesize findings into actionable recommendations.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities and work independently.
• Strong attention to detail and commitment to data accuracy.
• Demonstrated ability to collaborate effectively with cross-functional teams.

Physical and Other Requirements

• Sit and work at a computer for extended periods
• This job posting may have an additional video interview requirement. Please monitor your email and junk folder for additional instructions.
• This is not a Department of Transportation safety-sensitive position.

SkyWest is seeking highly motivated analytical minded individuals to join our team dedicated to data analytics. This team will partner with departments across the organization to identify opportunities, improve processes, optimize resources, and support data-driven decision making.

Successful candidates will transform complex data into actionable insights, develop reporting and analytical solutions, and collaborate with cross-functional teams to implement measurable business improvements. Analysts will be expected to identify opportunities, evaluate potential solutions, and support implementation efforts through completion while utilizing modern analytics, automation, and AI tools to improve productivity and business outcomes.

• • Analyze operational, financial, maintenance, supply chain, safety, and business data to identify trends, risks, and opportunities.
  • Develop reports, dashboards, models, and visualizations that support data-driven decision making.
  • Partner with stakeholders across departments to understand business challenges and recommend practical solutions.
  • Gather, clean, validate, and organize data from multiple systems and sources.
  • Identify process improvement opportunities and support implementation of efficiency initiatives.
  • Monitor key performance indicators (KPIs) and communicate findings to leadership.
  • Assist in developing and/or improving forecasts, budgets, and long-range planning models.
  • Perform root cause analysis and provide recommendations for corrective actions.
  • Support automation initiatives through reporting tools, business intelligence platforms, and data analytics solutions.
  • Document business requirements, methodologies, assumptions, and analytical findings.
  • Present analytical results and recommendations to leaders and stakeholders throughout the organization.
  • Collaborate with subject matter experts to ensure recommendations align with operational objectives.
  • Support special projects, strategic initiatives, and ad hoc analytical requests.
  • Maintain data integrity, governance standards, and reporting accuracy.
  • Perform other duties as assigned.
• Bachelor's degree in Business, Finance, Accounting, Economics, Statistics, Mathematics, Data Analytics, Engineering, Information Systems, or a related field; or equivalent combination of education and experience.
• Strong analytical and problem-solving skills.
• Advanced proficiency in Microsoft Excel.
• Ability to analyze large data sets and synthesize findings into actionable recommendations.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities and work independently.
• Strong attention to detail and commitment to data accuracy.
• Demonstrated ability to collaborate effectively with cross-functional teams.