Sr. 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. We anticipate closing applications submissions for this role on 03/02/2026 . If the deadline is extended, we will update this job posting accordingly. We are seeking a Sr. Data Modeler to design, manage, and optimize our business intelligence ecosystem. This role will translate business needs into actionable data insights by building robust data models, reliable pipelines, and intuitive dashboards that tell a clear story for decision-making. You will collaborate closely with business stakeholders and engineering teams to ensure data accuracy, consistency, and alignment across the organization.
Requirements
- Bachelor’s degree in computer science, engineering, or related field (advanced degree preferred)
- 7+ years of experience architecting and developing business intelligence solutions, ideally in an operational business environment
- Expertise with ETL tools and BI visualization platforms (Power BI)
- 5–7 years programming experience in SQL and Python in production environments.
- Familiarity with Azure ecosystem and exposure to Databricks
- Knowledge of Microsoft BI tools (T-SQL, Power Query, MDX, DAX)
- Experience working directly with business stakeholders to translate between data and business needs
- Strong communication and collaboration skills across technical and business teams
Nice To Haves
- Experience with other cloud platforms (AWS, GCP) and big data frameworks (Spark, Hadoop, Data Lake)
- Exposure to advanced analytics, predictive modeling, or machine learning
- Familiarity with data governance, quality, and metadata management practices
- Experience in enabling self-service analytics for business users
- Knowledge of agile development methodologies and cross-functional teamwork
- Hands-on experience optimizing ETL processes, building scalable dashboards, and improving BI workflows
- Familiarity with version control (Git) and CI/CD pipelines for data deployments
Responsibilities
- Design, build, and maintain the company’s data systems, including databases, data warehouses, and ETL/ELT pipelines
- Develop dashboards and visualizations in tools like Power BI that communicate key business metrics and insights
- Ensure data accuracy, consistency, and governance, aligning all reporting to defined KPIs
- Partner with business stakeholders to translate requirements into actionable data solutions
- Manage and administer BI tools and platforms, optimizing performance and access controls
- Identify opportunities to automate and improve data workflows to support operational efficiency
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
