Pricing and Market Research Analyst - Real Estate 21O25

The Pricing and Market Research Analyst in the Real Estate sector plays a critical role in guiding investment and pricing strategies by providing precise market insights. This position demands a keen analytical mind capable of digesting vast amounts of data to identify trends and forecast market behaviors. As a Pricing and Market Research Analyst, you’ll work closely with sales, finance, and product teams to support pricing decisions and strategize on market positioning. This role requires someone with a passion for data intricacies, strong problem-solving skills, and the ability to communicate complex data insights in a simplified manner to inform key stakeholders and influence decision-making processes.

Responsibilities

• Conduct comprehensive market research to identify emerging trends in the real estate sector.
• Analyze industry reports and economic indicators to inform pricing strategies.
• Collaborate with sales and finance teams to develop competitive pricing models.
• Prepare and present detailed market analysis reports for senior management review.
• Monitor competitor pricing and assess their impact on market dynamics.
• Utilize advanced data tools to enhance the precision of market forecasts.
• Evaluate the effectiveness of current pricing strategies and recommend improvements.
• Support the development of marketing plans through data-driven insights.
• Ensure data integrity and accuracy in all market research processes and outputs.
• Stay updated with the latest industry trends and economic news affecting real estate.
• Mentor junior analysts on best practices in market research and data analysis.
• Assist in the establishment of regulatory-compliance protocols for pricing structures.

Requirements

• Bachelor’s degree in Economics, Business Administration, or a related field.
• Minimum of three years of experience in market research or pricing analysis roles.
• Strong understanding of the real estate market dynamics and economic principles.
• Proven ability in data analysis and quantitative research methodologies.
• Proficiency in statistical software and data visualization tools such as Excel and Tableau.
• Excellent communication skills, both verbal and written, for effective presentations.
• Ability to work collaboratively within cross-functional teams and multi-task effectively.