Key Responsibilities:
Segment Transformation & Operational Improvement:
- Lead data-driven improvements in delivery and installation processes to support segment transformation goals.
- Develop metrics and insights that increase visibility, minimize inefficiencies, and enhance end-to-end execution.
- Perform exploratory data analysis identifying trends, patterns, and opportunities.
- Lead the development of predictive models that forecast trends, guide resource planning, and support strategic business decisions.
- Promote data transparency and accessibility, empowering teams across the organization to make informed decisions confidently based on trusted data.
- Build and maintain scalable forecasting frameworks that integrate seamlessly with operational data and reporting systems, ensuring accurate and timely insights.
Cross-Functional & Regional Engagement:
- Collaborate with regional and segment leaders to align analytics with local priorities and operational goals.
- Develop adaptable, scenario-driven analyses to support planning, prioritization, and informed decision-making in the face of uncertainty.
- Serve as a liaison between business and technical teams, ensuring that insights are practical and contextually relevant.
- Encourage collaboration and knowledge sharing across teams to support consistent, data-driven decision-making.
- Work with stakeholders to identify key assumptions, variables, and scenarios that reflect both past performance and future uncertainty.
- Actively participate in cross-functional planning meetings to ensure that data perspectives are incorporated early in the strategy and execution process.
Required Qualifications:
- Ability to lead under pressure and adapt to rapidly changing business environments.
- Strong analytical skills with a proven record of implementing data-driven process improvements.
- Demonstrated ability to support operational transformation through data insights.
- Demonstrated ability to manage large-scale projects and initiatives successfully.
- Possesses excellent communication and interpersonal skills, influencing project stakeholders to achieve mutual goals.
- Skilled in navigating complex challenges through cross-functional collaboration, delivering streamlined solutions that enhance operational performance
- Promote a culture of innovation and continuous improvement.
- Demonstrated ability to work independently and prioritize activities to meet scheduled completion dates.
- Bachelor’s in data science, Statistics, Computer Science, Business Analytics, or a related field.
- Traveling 25% of the time to manufacturing or customer locations, including overnight stays, may be necessary.
Desired Characteristics:
- Master’s degree in data science, Statistics, Computer Science, Business Analytics, or a related field.
- 5+ years of experience in data analytics, business intelligence, or a similar role.
- Proficiency in data visualization tools (e.g., Power BI, Tableau), SQL, and Excel.
- Experience with statistical analysis and forecasting techniques.
- Strong communication and stakeholder management skills, including experience working with senior leaders.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare 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 HealthCare 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).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
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