Description

We are seeking a Product Analyst Intern to join our team for a 4- or 8-month term. In this role, you will work closely with our Product Management teams to help analyze, synthesize, and interpret data to inform strategic product decisions and enhance customer value.

What You’ll Gain

• Hands-on experience in data-driven product analysis and commercialization strategy.
• Exposure to SaaS and DaaS product management processes.
• Mentorship from experienced product and strategy professionals.
• The opportunity to make meaningful contributions to live business initiatives.

This internship can be remote or based out of AccuWeather's Headquarters in State College, PA. 

Requirements

KEY RESPONSIBILITIES

• Conduct quantitative and qualitative analysis of structured and unstructured data to uncover customer needs and market trends.
• Support evaluation of our SaaS and DaaS offerings to identify opportunities for optimization in product performance, commercialization, and go-to-market execution.
• Synthesize insights into clear recommendations that inform product strategy and positioning.
• Collaborate with cross-functional teams to test hypotheses, validate customer feedback, and measure success metrics.
• Assist in building dashboards, reports, and presentations to communicate findings to stakeholders.
• Performs other duties as assigned.  
    

QUALIFICATIONS 

• Currently enrolled in a Bachelor’s or Master’s degree program in Business, Economics, Data Science, Engineering, or a related field.
• Strong analytical and problem-solving skills with proficiency in Excel, Python, SQL, or data visualization tools (e.g., Power BI, Tableau, Looker).
• Experience working with unstructured data (e.g., text, customer feedback, open-ended survey responses) is an asset.
• Understanding of marketplaces such as Databricks
• Excellent communication and synthesis skills — able to translate data into meaningful business insights.
• Interest in SaaS, DaaS, and digital product strategy.
• Self-motivated, curious, and eager to learn in a fast-paced environment.