INTERNSHIP DETAILS

Business Analyst Intern

CompanyHW Management Inc
LocationUnited States
Work ModeOn Site
PostedApril 19, 2026
Internship Information
Core Responsibilities
The intern will support the product management team by creating product documentation and maintaining analytical artifacts for the Zonda Enterprise product. They will also assist with feature request analysis, data definition, and cross-functional collaboration with engineering and customer success teams.
Internship Type
hourly part time
Company Size
Not specified
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company

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About the Role


Business Analyst Intern, Product Development 

Remote | US


Why You'll Love Zonda

Zonda is the leading provider of housing market data, research, and technology solutions for the homebuilding industry. Our mission is to inform, guide, and connect the next generation of homebuilders, developers, and real estate professionals with the tools they need to succeed.

Powered by the most trusted data and backed by a passionate team of industry experts, we deliver insights, marketing platforms, and innovative digital solutions that drive smarter decisions and better outcomes. From real-time market analytics to groundbreaking technology products, we’re shaping the future of housing — and building a smarter, more connected industry along the way.

The Role 

We are seeking a Business Analyst Intern to join our product management team and support the ongoing development of the Zonda Enterprise product. Zonda Enterprise turns homebuilding and housing market data into actionable insights that help industry professionals make strategic decisions. As an intern, you will assist product teams by supporting the documentation and product artifacts that help translate business and domain knowledge, while gaining hands‑on experience working with cross‑functional partners.

What You’ll Do

  • Support the creation and maintenance of product documentation and analytical artifacts used across Zonda products
  • Develop field-level metadata and definitions to improve data clarity and enable AI-driven interpretation
  • Assist with feature request analysis and reporting, including reviewing backlog items and summarizing insights with Customer Success
  • Help manage test and service accounts for product testing in collaboration with Engineering teams
  • Contribute to efforts that connect product requirements with technical implementation, including authentication and internal tooling workflows
  • Learn and apply real estate and housing market terminology to better understand product context and customer use cases

What You Bring

  • Currently pursuing a Bachelor’s or Master’s degree in Business, Political Science, English, Communications, or a related field
  • Strong analytical and organizational skills with attention to detail
  • Comfort working with structured information, documentation, and data-oriented concepts
  • Technical aptitude and ability to learn AI-based and custom developed software products. 
  • Curiosity about real estate, housing markets, and how data products support customer decision-making
  • Clear written and verbal communication skills

What You’ll Gain

  • Hands-on experience supporting product management and AI-enabled data products
  • Exposure to cross-functional collaboration within a highly technical organization
  • Deeper understanding of real-world data products and customer-driven feature development
  • Opportunity to work on a product that impacts the home-building industry


Inclusion & Equal Opportunity Employment
Zonda (formerly Hanley Wood | Meyers Research) is proud to be an Equal Opportunity Employer committed to diversity, inclusion & belonging. Here at Zonda, we are interested in every qualified candidate who is eligible to work in the United States.


Key Skills
Product documentationAnalytical skillsData analysisMetadata managementFeature request analysisProduct testingTechnical aptitudeCommunication skillsOrganizational skillsMarket researchCross-functional collaborationAI-driven interpretation
Categories
Data & AnalyticsTechnologySoftwareManagement & Leadership