Data Analytics Leader

GE HEALTHCARE•Remote, OH

4d•$112,000 - $168,000•Hybrid

About The Position

GE HealthCare is looking for a strategic and collaborative Data Analytics Leader to guide data-driven decision-making across the Magnetic Resonance (MR) team. This role will oversee data analysis projects, create insightful visualizations, and collaborate with stakeholders to support key work streams and strategic initiatives. A main focus will be supporting the transformation of MR delivery and installation by enhancing visibility and performance throughout the entire process. The ideal candidate will possess a strong analytical mindset, excellent communication skills, and a passion for transforming data into actionable insights that promote operational excellence. GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Requirements

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.

Nice To Haves

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.

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.