Product Analyst Summer Intern - 6337-6c6ab2

Moody's - New York, NY

Full-time - Intern

New York, NY

Administrative and Support Services

About the position

The internship at Moody's Analytics is designed for students pursuing degrees in fields such as Data Analytics, Data Science, or Business Administration. This 10-week summer program offers hands-on experience in product lifecycle support, requirements gathering, performance tracking, and client engagement. Interns will work closely with cross-functional teams and gain insights into the company's operations while developing professional skills in a collaborative environment.

Responsibilities

• Support the product team in various stages of the product lifecycle, from ideation and planning to development, launch, and post-launch activities.
• Collaborate with cross-functional teams, including engineering, design, and marketing, to collect and document product requirements and user stories.
• Help track product performance metrics and usage analytics, preparing regular reports to assess product adoption and user engagement.
• Participate in client and stakeholder meetings to understand user needs and communicate feedback to the product team.
• Assist in creating and updating product documentation, as well as identifying opportunities to improve workflows and processes within the product management team.

Requirements

• Familiarity with STEM related data and/or modeling techniques and tools.
• Comfortable working with large and complex data sets, including raw data and diagnostics.
• Analytical skills to collect, analyze, and disseminate information related to machine learning models.
• Evaluation skills to position an argument, provide verifiable facts, and illicit stakeholder determination.
• Interest or ability to craft business narratives to guide near-term business and resource decisions.
• Detail-oriented with strong organizational skills and a proactive approach to multiple tasks.
• Familiarity with financial data and/or software (SQL, JIRA, or Confluence).

Nice-to-haves

• Experience with multi-linguistic or culture studies and/or their relevant modeling technologies.
• Experience with artificial intelligence, machine learning, large language models.

Benefits

• Networking opportunities
• Mentorship from professionals
• Leadership speaker series
• Volunteering events
• Real-world project experience