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VistaJet

Lead Data Analyst

VistaJet, Fort Lauderdale, Florida, us, 33336

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Overview

Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista’s end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Responsibilities

Lead and mentor a team of data analysts. Design and deploy scalable, robust, user-friendly strategic data models and dashboards. Query and manipulate large data sets with SQL with Oracle BI and Tableau; Clean and preprocess data. Work with Data Engineering and IT to enhance data collection, warehousing, and new analytical tools and software. Manage advanced analytics projects from conception through execution, aligning with business strategy and delivering measurable ROI. Present complex data to stakeholders and executives, providing actionable insights to drive business growth. Develop best data handling, analysis, and visualization practices to maintain data integrity and security. Identify and present cohesive data narratives for improvements and strategies; Package deliverables clearly, addressing client business needs; Telecommuting/Work From Home within the U.S. is acceptable. Annual travel for approximately three days to Fort Lauderdale, FL. Qualifications

Master’s degree in Information Technology or a closely related field, and three years of experience as a Business Intelligence Analyst or similar. Advanced proficiency in Tableau; experience creating and maintaining 30+ dashboards for diverse analyses. Expertise in SQL for complex querying; experience optimizing large datasets. Experience with Cloud SQL environments (Google BigQuery and Snowflake). Strong communication skills; experience conveying analytical insights to technical and non-technical stakeholders. Experience leading at least ten projects, defining metrics, and aligning data strategies with business objectives. Experience using Regular Expressions for data extraction and normalization. Proficiency with GitLab, JIRA, and Confluence.

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