Sr Analytics Engineer

GE Aerospace•Springdale, AR

21h

About The Position

The Senior Analytics Engineer designs, builds, and scales analytics that improve Safety, Quality, Delivery, and Cost (SQDC) for the Aviation Component Service Center (ACSC) in Springdale, OH. You will own the end-to-end analytics lifecycle—from partnering with shop leaders and process owners to developing & maintaining data pipelines, models, and Spotfire dashboards that power daily management, root-cause problem solving, and continuous improvement on the shop floor. This role combines deep data engineering expertise with a strong inclination to develop business acumen and a bias for action.

Requirements

Bachelor’s degree in Computer Science, Data/Analytics, Engineering, Mathematics, or related STEM field from an accredited institution
Minimum 5 years of experience in data engineering/analytics (2+ years for exceptional candidates), with measurable business impact
Advanced SQL and Python; strong experience with data visualization (Spotfire preferred)
Experience with cloud platforms (AWS or Azure) and modern data warehouses (Snowflake, Redshift, or similar)
Strong knowledge of data modelling, ETL/ELT, and database design
Understanding of data governance, security, and compliance best practices
Excellent problem-solving, communication, and stakeholder management skills
Legal authorization to work in the U.S.

Nice To Haves

Experience in aerospace, industrial manufacturing, MRO, or component repair environments
Familiarity with ERP/MES/QMS data (e.g., routings, work orders, NCRs, repairs, yields, takt/cycle time)
Experience enabling tiered daily management and KPI standard work using analytics
Proficiency with Git-based workflows, CI/CD for data, testing frameworks, and observability tools
Exposure to statistical methods, forecasting, and experimentation for process improvement
Ability to translate ambiguous business problems into data products with clear value
Communication: Tailors complexity and narrative to the audience; delivers cross-functional-ready content using clear storytelling and visuals; proactively informs stakeholders of issues and risks; explains rationale and benefits; handles questions and dissent constructively; acknowledges knowledge limits.
Curiosity/Creativity: Translates abstract problems into structured analyses; asks incisive questions; seeks new ideas, methods, and processes; continuously develops skills.
Collaboration: Engages across departments, and customers to build clarity, trust, and shared goals; models collaborative behavior to foster openness and mutual trust.
Comfort in Ambiguity: Identifies information gaps and asks targeted questions; communicates status transparently; evaluates data to determine value and next steps.
Consulting: Provides strategic guidance to business and engineering teams; clarifies requirements and tradeoffs; shares expertise to shape solutions; surfaces customer issues early and facilitates resolution.
Change Agent: Learns and applies new tools and methods; assesses emerging technologies for value; builds buy-in and leads adoption; plans change activities with peers; implements feedback loops and monitors outcomes; solicits ideas to improve core processes.
Problem Solving: Generates multiple options with scenario analysis; drives solutions into action; teaches problem-solving approaches to others; prioritizes effectively, removes roadblocks, and delivers business value.

Responsibilities

End-to-End Ownership: Lead the full analytics lifecycle—requirements gathering, data acquisition, pipeline development, modelling, visualization, and user enablement—to deliver actionable insights for ACSC engine component repair operations.
Data Pipeline Development: Design, build, and maintain reliable ETL/ELT pipelines ingesting data from ERP/MES/QMS, test/inspection, and manual logs; ensure repeatability, observability, and resilience.
Data Modeling: Develop curated, production-grade data models (star/snowflake) and semantic layers to support KPI tracking and decision support; ensure data integrity and consistency.
Partnership within Digital Technology: Collaborate with central product and enterprise data teams to understand application architectures and source data structures; co-develop and validate business-ready data models for analytics, resolve data issues at the source, and align to enterprise data standards and governance.
Shop-Floor Process Understanding: Build deep understanding of component repair workflows, routings, and constraints; identify improvement opportunities and enable tracking of SQDIP metrics (Safety, Quality, Delivery, Inventory, Productivity).
Partner with Operations: Collaborate with cell leaders, planners, quality, engineering, and finance to translate business questions into data products; facilitate adoption through training and feedback loops.
Data Quality Assurance: Implement validation, anomaly detection, lineage, and monitoring to ensure high-quality, trusted data; triage data issues and drive corrective actions with source-system owners.
Performance and Scalability: Optimize data transformations, queries, and storage for low-latency analytics at scale; tune cost/performance on cloud and warehouse platforms.
Analytics and Visualization: Build intuitive Spotfire dashboards and analytics apps that support tiered daily management, constraint management, and root-cause analysis; deliver clear narratives with context and citations.
Reliability and Run: Own production operations for data products—SLAs, incident response, change management, and versioning—to ensure availability and continuous improvement.
Documentation and Standards: Maintain documentation for pipelines, models, and dashboards; uphold coding standards, CI/CD, testing, and reusability patterns.
Continuous Improvement: Identify automation opportunities and streamline workflows; contribute to reusable analytics assets and templates to scale across sites.
Compliance and Security: Ensure alignment with data governance, privacy, cybersecurity, and regulatory requirements; adhere to least-privilege access and auditability.

Benefits

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation.
GE Aerospace is an Equal Opportunity Employer.
Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening.
Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes

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