INTERN at Ram Realty Advisors LLC

Palm Beach Gardens, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Microsoft Excel, Data visualization, Financial modeling, Market research, Competitive analysis, Data cleaning, Data analysis, KPI tracking, Real estate analytics, Asset management, Problem-solving, Communication skills, Attention to detail

Industry

Investment Management

Description

Description Ram Realty Advisors LLC ("Ram") is a real estate investment management firm specializing in multifamily, mixed-use, and grocery-anchored retail in select high-growth markets throughout the Southeast. The firm’s portfolio comprises assets across the investment risk spectrum, including core-plus, value-add, and opportunistic strategies. Founded in 1978, Ram and its predecessor entities have deployed over $5.0 billion of capital on behalf of institutional partners. The firm is headquartered in Palm Beach Gardens, Florida, and has offices in Tampa, Florida; Charlotte and Chapel Hill, North Carolina; and Nashville, Tennessee. Join our team as a Data Analyst Intern, where you'll work directly with our Vice President of IT and collaborate cross-functionally with our acquisitions, asset management, and leasing teams. In this role, you'll apply technical skills to build and maintain data pipelines, develop dashboards, and deliver actionable insights that drive portfolio-level decision-making. This is a hands-on position for someone eager to apply their analytical toolkit — SQL, Python, Excel, or BI tools — to real-world problems in real estate analytics, market research, and financial reporting What You’ll Gain: · Hands-on experience working with a real estate portfolio spanning multifamily, mixed-use, and retail asset classes. · Exposure to real estate investment analysis, market research, and asset management. · Mentorship from experienced real estate and finance professionals. · A strong foundation for a career in real estate analytics, investment, or asset management. Essential Duties and Responsibilities: Depending on the deal flow at the time of the internship, the intern could expect to work on some or all the following tasks. · Collect, clean, and analyze data related to property performance, occupancy rates, rental trends, and market comparables. · Build and maintain dashboards and reports to track KPIs across multifamily, mixed-use, and grocery-anchored assets. · Conduct market research and competitive analysis to support acquisitions and leasing strategies. · Assist in the preparation of financial models, rent roll analysis, and NOI projections. · Support the team in identifying trends and opportunities within target markets. · Present findings and insights in a clear, concise manner to internal stakeholders. Requirements These requirements represent the education, knowledge, skill, certifications/licensure and/or ability required to perform the job satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties noted above. · Completed bachelor’s degree in data science, finance, real estate, economics, statistics, business analytics, or a related field (recent graduates encouraged to apply). Enrolled in master’s program preferred. · Proficiency in Microsoft Excel. · Experience with data visualization tools is a plus. · Familiarity with SQL or Python for data analysis is preferred. · Strong analytical and problem-solving skills with attention to detail. · Interest in or exposure to the real estate industry is highly preferred. · Excellent written and verbal communication skills. · Ability to work independently and collaboratively in an in-office setting.

Responsibilities

The intern will build and maintain data pipelines, develop dashboards, and deliver actionable insights to support portfolio-level decision-making. They will also assist in market research, financial modeling, and property performance analysis across various asset classes.