Product Operations Analyst Intern

Our Product Operations team is looking for a Product Operations Analyst Intern who is excited about the intersection of product, data, communication, and AI. In this role, you’ll help turn messy, real-world information into clear insights that support better product decisions, while learning how a modern SaaS company uses data and AI to improve both customer experiences and internal workflows.

You’ll work closely with product leaders, product owners, and operations partners, gaining hands-on experience with analytics, documentation, and process improvement in a culture that lives our values.

What You’ll Do

• 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.

Who You Are

• 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:
  • Humble: open to feedback, willing to do unglamorous work, and focused on the team’s success.
  • Hungry: self-starter, eager to learn, and reliable in following through on tasks.
  • Smart: 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.

Our Values

• We are a Team: Employees, customers, and partners working together.
• We are Customer-Focused: Customers are the heart of everything we do.
• We are Driven: Seeking exceptional outcomes.
• We Own Our Success: Every employee has a stake in our company.
• We do the right thing and have fun in the process.

The salary range for this opportunity is $18.00 per hour. You will be eligible for employee equity as well as discretionary bonus compensation, subject to plans that may be in effect from time to time. You will further be eligible to participate in Unanet's employee benefits plans and programs. For more details on Unanet's benefits offerings, please visit https://unanet.com/employee-benefits. 

Unanet is proud to be an Equal Opportunity Employer. Applicants will be considered for positions without regard to race, religion, sex, national origin, age, disability, veteran status or any other consideration made unlawful by applicable federal, state or local laws.