AI Real Estate Analyst.

Core data includes MLS listings, public records, satellite and aerial imagery, foot traffic data, demographic data, building permits, and economic indicators. Alternative data sources like social media sentiment, school ratings, crime statistics, and environmental risk assessments are increasingly used. Geospatial analysis combining multiple data layers is a core competency.

AI enables automated property valuation at scale, predictive market trend analysis, satellite-based property condition assessment, and natural language processing of lease documents. Computer vision can assess property condition from photos. These capabilities allow analysts to cover more properties with greater accuracy, shifting the role from manual research to model design and insight generation.

In Charleston, large enterprises typically pay AI Real Estate Analysts 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Bonuses of 10% to 20% tied to portfolio performance or deal value are common. The $76,000 to $138,000 range reflects this entire spectrum.

Many Charleston employers are shifting toward skills based hiring for AI Real Estate Analyst positions. While a degree can accelerate your path to the median salary of $105,000, demonstrated experience, certifications, and a strong portfolio carry significant weight. Candidates without degrees may start closer to $76,000 but can reach the 75th percentile with three to five years of proven results.

Compensation reflects the intersection of real estate domain expertise and ML engineering skills. Analysts who can build property valuation models, predict market trends, and analyze satellite imagery for real estate intelligence earn premiums. Experience with geospatial data, zoning analysis, and mortgage risk modeling adds value. In Charleston, these factors can push compensation from the 25th percentile of $76,000 to the 75th percentile of $138,000 or beyond.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Bonuses of 10% to 20% tied to portfolio performance or deal value are common. In Charleston's market, these extras can add $26,250 or more on top of the base salary.

Relevant certifications can add 5 to 15% to a AI Real Estate Analyst's base salary in Charleston. Specifically, compensation reflects the intersection of real estate domain expertise and ml engineering skills. In a market where the range spans $76,000 to $138,000, certifications often bridge the gap between the 50th and 75th percentile.