Analytics Engineer

what you'll do - 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 that address company KPIs and help 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. - Own the translation of business requirements into scalable, analytics-ready datasets aligned to KPIs, metrics definitions, and governance standards. - 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 - Achieve performance measures and adhere to established standards in conjunction with Breeze Aviation Group Values of Safety, Kindness, Integrity, Ingenuity, and Excellence Here's what you'll need to be successful

Minimum

Qualifications - 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 - Knowledge of RESTful APIs and experience with tools like Postman or similar - 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 - Ability to break 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 - Ability to build and maintain relationships within the organization - Excellent organizational and time-management skills - 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 - Health Savings Account with Breeze Employee Match - 401K with Breeze Employee Match - PTO - Travel on Breeze and other Airlines too!