As the Sr. Data Analyst at Signature Aviation, you will play a key role in using data and analytics to strengthen CRM performance, improve operational efficiency, and support data-driven decision-making across our global aviation services network. This role focuses on analyzing CRM, operational, and transactional data to identify trends, improve performance, and support initiatives that enhance commercial performance.
The Sr. Data Analyst will partner with Commercial, Operations, Technology, and Business Intelligence teams to transform complex datasets into actionable insights, dashboards, and predictive models that support continuous improvement and operational excellence.
With more than 225 locations worldwide, Signature Aviation is the largest global network of private aviation terminals, delivering safe, convenient, and elevated experiences to those we serve. As a premier hospitality organization and a certified Great Place to Work, we are committed to redefining private air travel. Our nearly 6,000-strong team of aviation experts and enthusiasts is dedicated to delivering excellence to our guests and communities, and it starts with taking care of our team. Signature provides a variety of benefits, programs, and resources to support our team members' overall well-being and professional development. We proudly volunteer and give back, focusing on elevating the neighborhoods where we operate, empowering the next generation of aviation professionals, and supporting our veterans.
From your health to your financial wellness, there are several benefits for you and your family when joining Signature Aviation.
Our Benefits:
Qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, or other protected characteristics.
Minimum Education and/or Experience:
Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent experience
5+ years of experience in data or sales analytics, business intelligence, or operational analytics roles
Experience working with Customer Relationship management Systems (CRM), preferably Microsoft Dynamics Customer Insights Data
Additional knowledge and skills:
Experience with data analysis and visualization tools such as Python, R, SQL, Power BI, Tableau, or similar platforms
Strong analytical and statistical skills with the ability to identify patterns and operational insights from large datasets
Experience developing dashboards, reports, and performance monitoring tools
Ability to translate complex data findings into clear insights and recommendations for operational and leadership stakeholders
Experience collaborating with cross-functional teams to support data-driven operational improvements
Collect, integrate, and validate data from multiple operational and operational systems to ensure accuracy and reliability
Analyze CRM and operational data to identify trends, performance gaps, and opportunities for improvement
Develop dashboards and reports that track key performance indicators (KPIs)
Partner with commercial leaders to translate data insights into actionable improvement initiatives
Support the development of predictive models and analytics that help anticipate commercial opportunities
Collaborate with IT and data teams to enhance data infrastructure and improve access to operational datasets
Develop analytical frameworks that support operational forecasting, performance monitoring, and decision support
Provide clear insights and recommendations to leadership based on data analysis and performance trends
Work cross-functionally with Commercial, Operations, IT, and Compliance teams to align analytics initiatives with operational priorities
Collect, integrate, and validate data from multiple operational and operational systems to ensure accuracy and reliability
Analyze CRM and operational data to identify trends, performance gaps, and opportunities for improvement
Develop dashboards and reports that track key performance indicators (KPIs)
Partner with commercial leaders to translate data insights into actionable improvement initiatives
Support the development of predictive models and analytics that help anticipate commercial opportunities
Collaborate with IT and data teams to enhance data infrastructure and improve access to operational datasets
Develop analytical frameworks that support operational forecasting, performance monitoring, and decision support
Provide clear insights and recommendations to leadership based on data analysis and performance trends
Work cross-functionally with Commercial, Operations, IT, and Compliance teams to align analytics initiatives with operational priorities