Planning Analyst

About the job

Job Description

We are looking for a Planning Analyst to support data science and analytics initiatives across Global Operations. Minimizing supply chain risk and optimizing manufacturing operations are critical to enabling surgeons and healthcare institutions to deliver better patient outcomes.

This is an entry-level role for a recent graduate beginning a data science career. The Data Scientist applies foundational data science and analytical concepts under general supervision, building toward greater independence over time. This role is expected to bring curiosity and hands-on comfort with Gen AI and LLM tools, using them both to accelerate day-to-day analysis and to help prototype new AI-powered data products.

Essential Job Duties (Specific responsibilities and tasks an individual would be expected to perform in the role. Additional job duties may be determined by functional people manager)

·  Support data science and analytics initiatives across Global Operations under the guidance of senior team members

·  Help translate well-defined business questions into analytical approaches with support from senior Data Scientists

·  Apply statistical methods and machine learning techniques to company data to generate insights

·  Build and maintain reports, dashboards, and data products using the R and/or Python ecosystem

·  Work with Snowflake and SQL to source, transform, and analyze datasets

·  Use Gen AI and LLM-based coding tools (e.g., Claude Code) to accelerate the development, testing, and documentation of analytics solutions

·  Explore and help prototype Gen AI / LLM-powered features and products that create new business value

·  Present findings and recommendations to team members and business stakeholders

·  Learn and apply best practices for reproducible, well-documented analytics

·  Collaborate with data analysts and business users across Global Operations to support long-term reporting needs

·  Continuously build technical skills, including in emerging Gen AI tooling, through mentorship and self-directed learning