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GE Aerospace · 19 hours ago

Staff Analytics Engineer

Dayton, OH

Full-time

Onsite

Senior Level, Lead/Staff

4+ years exp

GE Aerospace is seeking a Staff Analytics Engineer responsible for delivering new analytics solutions to drive business outcomes. The role involves managing the entire analytics lifecycle, developing data pipelines, and collaborating with business users to ensure analytics solutions meet business goals.

AerospaceCommercialManufacturing

No H1B

U.S. Citizen Only

Responsibilities

End-to-End Implementation: Take ownership of the entire analytics lifecycle, from requirements gathering and data pipeline development to delivering actionable insights and dashboards

Data Pipeline Development: Design, develop, and maintain robust ETL/ELT pipelines to process and transform data from various sources into usable formats

Data Modeling: Create and maintain optimized data models to support analytics and reporting needs, ensuring data integrity and consistency

Understanding Business Processes: Develop a deep understanding of business processes, particularly within supply chain sites, to identify opportunities for improvement and enable tracking of key performance indicators (KPIs) such as Safety, Quality, Delivery, Inventory, and Productivity (SQDIP)

Collaboration with Business Users: Partner closely with business users to understand their data needs, translate requirements into technical solutions, and ensure analytics solutions align with business goals

Data Quality Assurance: Implement data validation and monitoring processes to ensure high-quality and reliable data for analytics

Performance Optimization: Optimize data workflows and queries for efficiency and scalability, ensuring minimal latency and maximum performance

Analytics and Visualization: Develop and maintain interactive dashboards and visualizations using Spotfire to enable data-driven decision-making across the organization

Ownership and Accountability: Act as the primary owner of analytics solutions, ensuring timely delivery, ongoing maintenance, and continuous improvement of data products

Documentation and Standards: Develop and maintain documentation for data pipelines, models, and processes, ensuring adherence to best practices and company standards

Continuous Improvement: Identify opportunities for process improvement and automation within data workflows and analytics operations

Compliance and Security: Ensure data solutions comply with organizational policies, data privacy regulations, and security standards

Qualification

SQLPythonData Pipeline DevelopmentData ModelingETL/ELT ProcessesData VisualizationCloud PlatformsData GovernanceAgile MethodologiesMachine LearningProblem-Solving SkillsCommunication SkillsCollaboration Skills

Required

Bachelor's degree from accredited university or college with minimum of 4 years of professional experience OR Associates degree with minimum of 7 years of professional experience OR High School Diploma with minimum of 9 years of professional experience

Minimum 4 years of professional experience in data and Analytics

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening

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))