Job Description
Director, Data Analytics Vista Global - 1.7 Fort Lauderdale, FL Job Details Full-time 18 hours ago Benefits Work from home Qualifications Retention metrics analysis Website activity analysis Commercial use (data warehousing systems) Systems integration Customer behavior analysis Data visualization software proficiency Data Integration (Data management) Cloud data warehouses Project management in technology Market segmentation (product management technique) Business intelligence report generation Customer segmentation analysis Performance Reporting Managing IT teams Managing data teams Enterprise software systems development Data governance Snowflake Master's degree SQL Team development Hiring Data Architecture Design (Architecture design skills) Business intelligence tools Technology management Mentoring Recruiting APIs Managing projects
Training Full Job Description Overview:
Vista is the world's leading global business aviation company, providing worldwide business flight services through its network of subsidiaries and a team of over 4,000 experts. A global group headquartered in Dubai, Vista integrates a unique portfolio of companies to offer asset-free services that cover all key aspects of business aviation, including guaranteed and on-demand global flight coverage, subscription and membership solutions, and trading and management services. A career at Vista means stepping into an environment where you're trusted with real autonomy and responsibility from day one. Whether you're keeping our aircraft airworthy, flying our clients across the globe, or working in one of our corporate teams, you'll move fast, deliver impact quickly, and grow through hands‑on learning and close collaboration within a supportive global community. Vista Tech delivers comprehensive technology solutions across the organization, playing a vital role in the acceleration of its operations and supporting Vista's end-to-end solutions. The team develops and maintains systems that enable efficiency, scalability, and innovations to ensure technology effectively supports both operational and commercial needs. Responsibilities:
Embed data governance and privacy-by-design into Enterprise Architecture, defining data pipeline operations, technical and business requirements, and ensuring privacy and security compliance from the design phase. Develop core reporting systems, prioritize analytics requests, centralize core metrics definitions, and establish a scalable data governance framework. Lead a centralized analytics team supporting Finance, Sales, Client Services, and Operations, delivering actionable insights to improve business performance, customer retention, and operational efficiency. Improve operational efficiency through data-driven strategies for on-time performance, aircraft utilization, and crew scheduling. Own data visualization and automation tools. Implement predictive analytics and machine learning models to enhance operations and strategic planning. Recruit, train, develop, and manage analysts. Telecommuting/Work From Home within the U.S. is acceptable. Travel:
Bi-weekly travel to Fort Lauderdale, FL, for one day, bi-annual to Columbus, Ohio, and annual to London, UK. Required Skills and Experience:
Master's degree in Analytics, Business Analytics, or Statistics, and 5 years' experience as analytics manager, business analyst, data analyst, or similar position. Expertise in developing and managing core reporting systems, data governance frameworks, and centralized metric definitions. Expertise in Google Analytics, Snowflake, SQL, APIs, data integrations, and Tableau. Expertise in Data platform architectures for complex transactional and analytical systems. Experience with leading data-driven projects, managing analytics teams, and prioritizing business decisions by leveraging insights and data tools. Experience with hiring, mentoring, and managing analytics teams. Experience with customer analytics in a commercial context, including customer segmentation, retention modeling, and revenue tracking. Experience with cross-functional collaboration across Data Engineering, Analytics/Data Science, and stakeholders (including C-suite) in Finance, Sales, Client Services, and Operations. Experience with data warehousing, ETL processes, and enterprise data management. Experience with modernizing reporting infrastructure and integrating data across multiple business systems or entities. #LI-DNI
