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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, including exploratory data analysis, data cleansing, and model validation, while effectively communicating insights to both technical and non-technical stakeholders. Proven ability to collaborate in cross-functional teams to enhance analytics performance and customer outcomes.
Highest-signal resume keywords
Data AnalyticsExploratory Data AnalysisModel ValidationStatistical AnalysisCustomer Support
About the role
Key responsibilities & impact- Develop, verify, and validate analytics addressing customer needs and product objectives
- Design and develop new analytics for the FlightPulse product as part of a cross-functional team
- Contribute to FlightPulse development, deployment, support, and continuous improvement
- Perform exploratory, diagnostic, and targeted data analyses to identify patterns, trends, anomalies, and actionable insights
- Assess data quality and perform data profiling, cleansing, transformation, and preparation
- Translate business problems and analytical requirements into analytical solutions with product, engineering, and domain teams
- Communicate findings, technical issues, and recommendations to technical and non-technical stakeholders
- Support customer implementation, including onboarding, analytics rollout, issue resolution, and deployment readiness
- Provide customer support for analytics performance, data quality issues, output interpretation, and product functionality
- Participate in technical problem-solving across development, testing, deployment, and production support
- Improve the quality, reliability, and usability of analytics embedded within FlightPulse
- Document analytical methods, assumptions, validation results, limitations, and support procedures
- Collaborate with global and cross-functional teams while balancing technical quality with customer and business impact
- Contribute ideas to improve analytics development processes, validation practices, and support models
Requirements
What you’ll need- Bachelor’s degree from an accredited college or university
- For candidates in the USA: minimum of 3 years of experience in data analytics, data science, advanced analytics, or a related technical field
- For candidates outside the USA: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative or technical discipline, with advanced experience as described in the job description
- Experience performing exploratory data analysis, data cleansing, and data quality assessment on large datasets
- Experience developing, testing, validating, or supporting analytical models, algorithms, or data-driven solutions
- Familiarity with EMS platforms; experience preferred but not required and training will be provided
- Exposure to customer implementation activities, including onboarding, deployment coordination, and issue resolution
- Exposure to customer support, including troubleshooting analytics, investigating data issues, and responding to user needs
- Strong analytical and technical problem-solving skills
- Familiarity with supporting analytics through production deployment and post-deployment monitoring
- Ability to connect technical outputs to product functionality and customer outcomes
- Experience working with data science, software, or product teams, ideally in a commercially facing environment
- Working knowledge of statistical analysis, machine learning methods, and practical model validation approaches
- Experience working with multi-source datasets in a product or operational setting
- Interest in or exposure to one or more industry sectors where GE operates; aviation experience is a plus
- Ability to understand customer problems and contribute to solutions that deliver measurable customer value
- Ability to connect analytical work to operational outcomes, product performance, and customer adoption
- Basic understanding of analytics for monitoring, diagnostics, optimization, and decision-making in commercial or industrial settings
- Experience working effectively in team settings as a contributor and collaborator
- Sound critical thinking and structured problem-solving skills
- Good presentation and communication skills, including explaining technical findings clearly
- Ability to build working relationships and contribute to alignment in cross-functional environments
- Ownership of assigned work, ability to manage multiple tasks, and meet commitments
- Willingness to share knowledge and seek feedback and mentorship
- Openness to new approaches and willingness to help adopt improvements
- Ability to work in changing environments with guidance from senior team members
- Customer-focused, proactive, and solution-oriented mindset
- Strong learning agility and willingness to work across technical, product, and customer-facing activities
- High attention to detail and commitment to quality, accuracy, and follow-through
- Collaborative approach and ability to build trust across functions
- Strong written and verbal communication skills
- Must prove U.S. Person status for access to U.S. export-controlled information
- Must be legally authorized to work in the United States
Benefits
Comp & perks- Medical, dental, vision, and prescription drug coverage
- Health Coach from GE Aerospace
- Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
- GE Aerospace Retirement Savings Plan
- 401(k) savings plan with company matching contributions and company retirement contributions
- Fidelity resources and planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability insurance
- Life insurance
- Paid time off for vacation or illness
- Relocation assistance
- Professional development opportunities
- Challenging careers
- Competitive compensation
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CleansingData Quality AssessmentMachine Learning MethodsAnalytical ModelsData ProfilingData TransformationData PreparationData-Driven SolutionsTechnical Problem-SolvingMulti-Source Datasets
Soft Skills
Communication SkillsCollaborationCritical ThinkingCustomer-Focused MindsetLearning Agility
Tools & Technologies
EMS Platforms
Industry Keywords
Aviation ExperienceCommercial SettingsOperational OutcomesProduct PerformanceCustomer Adoption