Staff Analytics Engineer

  • Beavercreek, OH
  • Posted 19 days ago | Updated 1 hour ago

Overview

On Site
Full Time

Skills

HR Analytics
Blueprint
Requirements Elicitation
Reporting
Data Integrity
Business Process
Supply Chain Management
KPI
Inventory
Productivity
Data Quality
Data Validation
Performance Tuning
Scalability
Visualization
Dashboard
Decision-making
Accountability
Documentation
Continuous Improvement
Process Improvement
Privacy
Analytics
Military
Legal
Authorization
SQL
Python
Data Visualization
TIBCO Spotfire
Cloud Computing
Amazon Web Services
Microsoft Azure
Data Warehouse
Snow Flake Schema
Amazon Redshift
Data Modeling
ELT
Database Design
Extract
Transform
Load
Apache Airflow
Data Governance
Regulatory Compliance
Problem Solving
Conflict Resolution
Analytical Skill
Effective Communication
Collaboration
Machine Learning (ML)
Workflow
Agile
JIRA
Operating Systems
Lean Methodology
Manufacturing
Immigration
Professional Development
Law
Aerospace

Job Details

Job Description Summary
The Staff Analytics Engineer will be responsible for delivering new, commercially re-usable analytics solutions (Analytic Blueprint Packages) to drive business outcomes.

Job Description

Key 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.

Minimum Qualifications:
  • 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
  • Note: Military experience is equivalent to professional experience

Eligibility Requirements:
  • 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.

Preferred Qualifications:
  • Proven experience with SQL, Python, and data visualization tools (e.g., Spotfire).
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data warehousing solutions (e.g., Snowflake, Redshift).
  • Strong understanding of data modelling, ETL/ELT processes, and database design.
  • Proficiency in data pipeline tools (e.g., Apache Airflow, dbt, or similar).
  • Knowledge of data governance, security, and compliance best practices.
  • Excellent problem-solving and analytical skills.
  • Effective communication and collaboration skills to work with business users and cross-functional teams.

Desired Qualifications:
  • Experience with machine learning workflows and tools.
  • Familiarity with Agile methodologies and tools like JIRA.
  • Knowledge of GE Aerospace's FLIGHT DECK operating system and lean principles.
  • Experience in the aerospace or manufacturing industry

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 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: No
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.