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.

Benefits

Employee equity
Discretionary bonus compensation
Participation in employee benefits plans

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisExcelGoogle SheetsSQLbusiness intelligence toolsdata visualizationdocumentationresearchdata synthesiscontent summarization

Soft Skills

analytical mindsetcritical thinkingwritingcommunicationteam collaborationcuriosityinitiativeemotional intelligenceproblem-solvingadaptability