[Remote] Data Analytics Leader
Note: The job is a remote job and is open to candidates in USA. GE HealthCare is a global medical technology and digital solutions company seeking a strategic and collaborative Data Analytics Leader for its Magnetic Resonance team. The role leads data analysis, predictive modeling, forecasting, visualization, and cross-functional initiatives to improve delivery and installation processes and support operational transformation.
Responsibilities
- 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
- Promote a culture of innovation and continuous improvement
- 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
Skills
- Bachelor's in data science, Statistics, Computer Science, Business Analytics, or a related field
- 3+ years experience using Power Automate and Microsoft Office Scripts to automate repetitive workflows
- 3+ years experience building AI agents to streamline repetitive data analysis tasks
- 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
- Experience managing 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
- Traveling 25% of the time to manufacturing or customer locations, including overnight stays, may be necessary
- We will not sponsor individuals for employment visas, now or in the future, for this job opening
- GE HealthCare will only employ those who are legally authorized to work in the United States for this opening
- Relocation Assistance Provided: No
- 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
- Ability to work independently and manage multiple priorities in a fast-paced environment
- Demonstrated ability to support operational transformation through data insights
Benefits
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
- Medical insurance
- Dental insurance
- Vision insurance
- Paid time off
- A 401(k) plan with employee and company contribution opportunities
- Life insurance
- Disability insurance
- Accident insurance
- Tuition reimbursement
- Professional development
- Career opportunities
- A great work environment
Company Overview