Planning Analyst

Intuitive•Sunnyvale, CA

12h•$108,400 - $172,500•Onsite

About The Position

The Planning Analyst supports data science and analytics initiatives across Global Operations, helping minimize supply chain risk and optimize manufacturing operations. This is an entry-level role for a recent graduate beginning a data science career. Under general supervision and guidance from senior team members, the role applies foundational data science and analytical concepts and builds toward greater independence. The analyst is expected to bring curiosity and practical familiarity with Gen AI and LLM tools, using them to accelerate everyday analysis and prototype AI-powered data products.

Requirements

Experience developing data-based solutions in either the Python or R ecosystem through coursework, internships, or personal projects.
Foundational knowledge of statistical techniques and machine learning concepts.
Familiarity with SQL, including querying across multiple tables.
Hands-on curiosity with Gen AI or LLM tools, such as Claude or Claude Code, for coding, analysis, and exploration.
Experience building dashboards, reports, or other data products through academic, internship, or professional work.
Proven problem-solving, quantitative, and analytical abilities.
Statistical skills and familiarity with common methods.
Excellent communication skills and ability to present findings clearly.
Inquisitiveness and a desire for continuous learning and improvement.
Minimum quantitative bachelor's degree in Statistics, Computer Science, Math, Data Science, or a similar field, or equivalent professional experience.
Typically 0–2 years of related experience with a university degree, or equivalent internship, research, or academic project experience.

Nice To Haves

Quantitative advanced degree in Statistics, Computer Science, Math, Data Science, or a similar field.
Experience with Git-based workflows and collaborative development.
Experience with CI/CD concepts.
Experience building or prototyping LLM-powered applications, such as agentic workflows, RAG, or chatbots.
Experience with Posit platforms, including Workbench or Connect.
Internship, coursework, or project experience in manufacturing, supply chain, or operations.

Responsibilities

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.
Use Snowflake and SQL to source, transform, and analyze datasets.
Use Gen AI and LLM-based coding tools to accelerate development, testing, and documentation of analytics solutions.
Explore and help prototype Gen AI- and LLM-powered features and products that create 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.
Build technical skills, including in emerging Gen AI tools, through mentorship and self-directed learning.