Data Analytics & AI Intern / Analyst - Castle Park Investments

Castle Park Investments; New York (NY); On-site; USD 28,000 - 41,000; Part time

Benefits offered by this job

Competitive compensation

Path to full-time employment

Hands-on AI and data solutions

Portfolio exposure across real estate

Job summary

Castle Park Investments seeks a tech-driven analyst intern to join our data and technology team, reporting to the VP of Data & Technology. This role targets current students, grads, or early-career professionals passionate about real estate analytics and AI.

Ideal candidates can commit ~20 hours weekly; high performers may transition to full-time. You will lead KPI tracking, ML pipelines, and AI tool integration across our 4,500+ unit portfolio in 9 states.

Qualifications

• Current senior pursuing a Bachelor's degree, graduate student, or recent graduate in Data Science, Business Analytics, Computer Science or Engineering, or Software Engineering.
• Ability to commit ~20 hours per week for current students; flexible around course load.
• Strong analytical and problem-solving skills.
• Foundational experience with BI tools: Tableau, Power BI, Looker or similar.
• Strong SQL and Python skills, including API integrations and Pandas/NumPy.
• Passion for AI and rapid self-driven learning.

Responsibilities

• Create data pipelines from property management systems into cloud storage.
• Identify and pilot AI-powered tools to automate workflows (marketing, leasing, maintenance, reporting).
• Serve as internal champion for AI adoption across departments.
• Build BI dashboards and automated Excel reports using SQL; deploy dashboards via AWS CloudFront.
• Develop ML pipelines with AI tools to surface trends and support decisions.
• Collaborate with operations, acquisitions, and investor relations to turn data into actions.

Skills

Data Science

SQL

Python

Tableau

Power BI

Looker

APIs

Pandas

NumPy

AI

Communication

Self-motivation

Education

Pursuing Bachelor's in Data Science/CS/Engineering

Tools

AWS CloudFront

Claude Code

Visual Studio Code

Job description

Castle Park Investments is seeking a tech-driven analyst to join our data and technology team, reporting directly to Kutay Gozalan, VP of Data & Technology. This role is ideal for a current student, recent graduate, or early-career professional passionate about transforming real estate operations through data analytics and artificial intelligence.

We are open to candidates at various stages—whether you're a senior undergraduate, a graduate student, or a recent graduate ready to hit the ground running. For current students, we're looking for someone with a manageable course load who can commit approximately 20 hours per week (with some flexibility). For those who perform well, this internship is designed to convert into a full-time position.

You will play a pivotal role in enhancing our portfolio-wide KPI tracking, building machine learning pipelines, and leading the integration of AI tools to optimize processes across our 4,500+ unit portfolio spanning manufactured housing communities, RV resorts, and campgrounds in 9 states.

Key Responsibilities

• Create data collection pipelines from property management systems into our cloud-hosted storage environment
• Identify, pilot, and implement AI-powered tools to automate workflows in marketing, leasing, maintenance, and investor reporting.
• Be the internal champion for AI adoption across all departments
• Build internal business intelligence tools, including automated Excel reports using SQL queries and custom live dashboards deployed through AWS CloudFront, leveraging AI-assisted coding tools
• Deploy automated machine learning pipelines, supported by AI tools, to interpret and summarize data, surface trends, and enhance decision-making
• Partner with operations, acquisitions, and investor relations teams to translate data insights into actionable business decisions

Requirements

• Current senior pursuing a Bachelor's degree, graduate student, or recent graduate in Data Science, Business Analytics, Computer Science or Engineering, or Software Engineering
• For current students: ability to commit approximately 20 hours per week (flexible based on course load and availability)
• Strong analytical and problem-solving skills
• Foundational experience with business intelligence tools such as Tableau, Power BI, Google Looker, or similar
• Strong SQL and Python skills, including experience with API integrations and data analytics libraries such as Pandas and NumPy
• Passion for AI and emerging technologies with a track record of self-driven learning and experimentation
• Strong communication skills—ability to translate complex technical concepts for non-technical stakeholders
• Self-starter mentality; thrives in fast-paced, entrepreneurial environments with minimal supervision

Preferred Qualifications

• Basic JavaScript knowledge and experience with front-end web development, ideally using Node.js
• Experience using AI tools such as Claude Code to build BI tools or other applications
• Familiarity with cloud computing, preferably on AWS
• Experience working in IDEs like Visual Studio Code

Benefits

• Be part of a fast-growing real estate investment platform that is redefining attainable housing across the U.S
• Work hands-on with industry-leading AI and data-driven solutions applied directly to real estate ownership and operations
• Collaborative, entrepreneurial environment with a clear path to full-time employment
• Competitive compensation and benefits package