Product Operations Analyst Intern

Role Overview

• Support product and operations leaders with basic data analysis, using tools like Excel/Google Sheets to organize, clean, and interpret product and operational data.
• Help transform data and research inputs into clear, simple summaries, including write-ups, slides, and lightweight dashboards that inform product decisions.
• Assist with lightweight research and discovery work (e.g., reviewing notes, themes, and feedback) and help synthesize patterns or trends.
• Contribute to documentation and knowledge organization (e.g., meeting notes, decision logs, shared resources) so teams can find and reuse information quickly.
• Experiment with AI tools (where appropriate and guided by our practices) to accelerate tasks like summarizing content, drafting documentation, or exploring data.
• Partner with teammates to improve processes—spotting inefficiencies, proposing small experiments, and helping track outcomes.

Requirements

• Current college student (rising junior/senior or similar) with interest in product, data, or business/technical fields.
• Background or strong interest in humanities or communications majors and how these skills apply to product and data work (e.g., critical thinking, writing, argumentation).
• Demonstrated interest in data analytics (coursework, projects, clubs, or similar) and basic comfort with tools like Excel or Google Sheets; bonus if you’ve been exposed to SQL or BI tools.
• Curious about AI technology and motivated to learn how AI can improve products and internal processes.
• Strong analytical mindset: you enjoy digging into problems, asking “why,” and turning data into simple, understandable insights.
• Strong writing and communication skills, especially when it comes to synthesizing information and explaining findings clearly to different audiences.
• Effective communicator in both writing and conversations, able to explain what you found, how you found it, and why it matters.
• Humble, hungry, smart: open to feedback, willing to do unglamorous work, focused on the team’s success; eager to learn, reliable in following through on tasks; good judgment, emotionally intelligent, and someone who works well with others.
• Comfortable working with messy information, organizing it, and keeping details accurate.
• Willing to learn about Unanet’s products, customers, and internal tools and apply that knowledge quickly in your work.
• Shows initiative and curiosity: proactively asks questions, explores new tools (including AI), and looks for ways to make the team’s work more effective.

Tech Stack

• SQL

Benefits

• Employee equity
• Discretionary bonus compensation
• Participation in employee benefits plans