Sr Analytics Engineer

GE Aerospace

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profile Job Location:

Springdale, AR - USA

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description Summary

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 lifecyclefrom 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.

Job Description

Roles and Responsibilities

In this role responsibilities will include:

  • End-to-End Ownership: Lead the full analytics lifecyclerequirements gathering data acquisition pipeline development modelling visualization and user enablementto 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 productsSLAs incident response change management and versioningto 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.

Minimum Qualifications

  • Bachelors 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.

Desired Characteristics

  • 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.

This role requires access to U.S. export-controlled information. Therefore employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident U.S. Citizen have been granted asylee or refugee status (i.e. a protected individual under the Immigration and Naturalization Act 8 U.S.C. 1324b(a)(3)).

This role requires access to U.S. export-controlled information. Therefore employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident U.S. Citizen have been granted asylee or refugee status (i.e. a protected individual under the Immigration and Naturalization Act 8 U.S.C. 1324b(a)(3)).

Additional Information

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


Required Experience:

Senior IC

Job Description SummaryThe 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 lifecyclefrom partnering with shop leaders and proces...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics

About Company

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Airspace EfficiencyIncrease airspace efficiency with data-driven flight path design and airspace analytics

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