Analytics Engineer

Job Summary

The Analytics Engineer at Breeze Airways is responsible for delivering high-quality, analytics-ready data that powers enterprise reporting, operational insights, data science models, and strategic decision-making. This role involves designing, building, and optimizing scalable semantic models within Snowflake, ensuring trusted, performant, and well-governed data assets for use across various platforms.

About the Role

Breeze Airways is committed to bringing "The World’s Nicest Airline" to life through cross-functional collaboration with Team Members. The Analytics Engineer plays a crucial role in translating complex operational, commercial, and financial data into curated datasets that enable self-service reporting and consistent KPI definitions.

Responsibilities

• Own the design, build, and optimization of star schemas, data vaults, operational data stores (ODS), and semantic models for analytical and operational workloads.
• Own performance tuning, query optimization, and monitoring across the semantic layer.
• Own and deliver trusted semantic models that fuel self-service analytics addressing company KPIs and helping influence better decisions through data-driven insights.
• Serve as the primary analytics engineering point of contact for business units (Finance, Operations, Commercial, Maintenance, Safety, etc.), owning the translation of their data needs into technical solutions.
• Define, own, and maintain data modeling standards, glossary, lineage, documentation, and best practices.
• Use Python, R, SQL, and other programming languages for data cleaning, transformation, and analysis tasks.
• Support security and compliance requirements such as access control, data masking, and regulatory reporting needs.
• Other duties and responsibilities as determined by leadership.

Requirements

• Combination of experience and education will be considered.
• Bachelor’s degree in Data Science, Information Systems, Computer Science, Statistics, Data Analytics, or a related field.
• 5+ years of experience in Analytics Engineering, Business Intelligence, or Data Engineering roles.
• Advanced SQL skills across major platforms (Snowflake, SQL Server, Oracle, Postgres, etc.).
• Strong experience building and maintaining semantic/analytical models, especially dimensional models, star schemas, and KPI frameworks.
• Experience with business intelligence tools (e.g., Power BI, Tableau, Looker).
• Strong analytical and problem-solving skills.
• Familiarity with data warehousing concepts and ETL processes.
• Comfortable using agentic AI tools and large language model (LLM) assistants to accelerate development, data modeling, and analysis workflows.
• Working knowledge of the Model Context Protocol (MCP) and connecting AI agents to data sources, tools, and internal systems.

Preferred Qualifications

• Experience in the aviation industry.
• Background in self-service analytics enablement and BI governance.

Skills/Talents

• Collaborates across the organization to ensure alignment of stakeholder needs.
• Breaks ambiguity into solvable parts.
• Operates with the highest integrity, tackles problems with ingenuity, constantly pursues excellence, and exercises kindness in all interactions.
• Exceptional communication skills.
• Demonstrated ability to manage multiple projects simultaneously.
• Excellent organizational and time-management skills.
• P Practices extreme ownership and transparency.
• Proficient in Microsoft Office Suite.
• Exemplifies Breeze’s safety culture, values, and mission.

Perks of the Job

• Health, Vision and Dental coverage.
• Health Savings Account with Breeze Employee Match.
• 401K with Breeze Employee Match.
• PTO.
• Travel on Breeze and other Airlines too!

Equal Employment Opportunity

Breeze Airways provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.