Real Estate Marketing Analyst

Our client is seeking a detail-oriented Real Estate Analyst to join our team. The ideal candidate will have a strong analytical mindset and a passion for real estate data analysis.

A real estate analyst synthesizes data from various sources, tested and untested analytics, and information from various company sources in order to provide data that is used in making crucial decisions to set rental rates. They consider several metrics, including: marketing and sales costs, competition, consumer trends, apartment quality, quantitative analysis, and historical and projected performance. The real estate analyst is not only involved in helping set rental rates, but also offers advice and analytical guidance about when to introduce a new units and rental rates.

Essential Duties and Responsibilities

• Analyze market trends, including competitors’ prices, consumer habits, marketing and sales strategies, historical and projected profitability.
• Synthesize external trends with internal data, including company goals, make-ready and rehab costs, marketing and sales costs, prices of units currently on the market, and current financial status and budget.
• Deliver data about appropriateness of rental rates for various unit types based on the analysis of internal and external data.
• Monitor the results of pricing decisions by evaluating performance in relation to budget and profit margins and communicate with company management and sales team regularly.
• Maintain detailed records for individual buildings and units that can be used to evaluate future market trends and aid in future pricing decisions.

Position Requirements:

• Bachelor’s degree (Master’s degree a plus) in economics, business, engineering, statistics, accounting, finance or related field.
• At least four years of experience in business analytics.
• Analytical, evaluative and data-driven mindset.
• Ability to multi-task several projects on a routine basis
• Results-driven with ability to work under time pressure.

Preferred:

• Experience creating real estate analytic models a huge plus.