Data Modeler, Business Intelligence & Data Analytics
About The Position
At Wheels Up, we're proud to be a global leader in on-demand private aviation. As one of the largest companies in the industry and a strategic partner of Delta Air Lines – we are committed to making private air travel safe, reliable, and enjoyable. With a diverse fleet of owned aircraft plus a global network of trusted charter operators, we offer our customers access to the right aircraft for their needs and the ability to fly on their terms. And it doesn’t stop at private flights. Wheels Up also provides freight services, safety and security solutions, and managed services to individuals, businesses, government agencies, and more. Regardless of how, when or where you want to fly, our mission is simple; deliver a premium, personalized aviation experience for every customer. The Data Modeler, Business Intelligence Data Analytics, supports the leadership in designing, building, and maintaining our business intelligence ecosystem. The Data Modeler ensures data is accurate, reliable, and actionable, creating dashboards and reports that help business teams make informed decisions. This position requires strong technical skills in data modeling, ETL, and BI tools, combined with the ability to translate business requirements into clear insights. We anticipate closing applications submissions for this role on 03/02/2026. If the deadline is extended, we will update this job posting accordingly.
Requirements
- Bachelor’s degree in computer science, engineering, or related field (advanced degree preferred)
- 5+ years of experience in data modeling, ETL development, and BI solutions
- Proficiency in SQL and Python in production environments
- Hands-on experience with BI tools such as Power BI, or Looker
- Familiarity with Azure ecosystem and exposure to Databricks
- Experience working with databases and data warehouses (Snowflake, Redshift, Big Query, Synapse)
- Ability to work with business stakeholders to understand and translate requirements.
- Strong communication and collaboration skills
- Ability to sit for extended periods of time while working at a computer
- Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment
- Ability to view and interpret data on a computer screen for prolonged periods
- Ability to communicate effectively verbally and in writing
- Occasional standing, walking, bending, or reaching in an office environment
- Ability to lift and move up to 10 pounds occasionally (e.g., laptop or office materials)
- Ability to work in a standard office or remote work environment
- Ability to perform job duties with or without reasonable accommodation
Nice To Haves
- Exposure to other cloud platforms (AWS, GCP) and big data frameworks (Spark, Hadoop, Data Lake)
- Familiarity with data governance, quality, and metadata management practices
- Experience with advanced analytics or predictive modeling
- Knowledge of agile methodologies and cross-functional team collaboration
- Experience supporting scalable dashboards and automated ETL workflows
Responsibilities
- Design, build, and maintain data models, ETL/ELT pipelines, and data warehouses under the guidance of the Sr. Data Modeler
- Build and maintain dashboards and visual reports in Tableau, Power BI, or similar tools for business stakeholders
- Ensure data quality, governance, and alignment to defined KPIs and organizational metric standards
- Partner with business teams to translate requirements into actionable insights
- Assist in BI tool administration (access, performance, monitoring) and ensure system reliability
- Support initiatives to optimize and scale BI solutions across the organization
Benefits
- Tuition Reimbursement
- Competitive 401(k)
- Comprehensive Medical, Dental, and Vision Insurance
- Complimentary access to mental health and wellness counseling through Spring Health
- Financial planning assistance
- A variety of additional programs and services in support of your total well-being
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
