Remote Real Estate Data Analyst

Placements24; Willows (CA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Fully remote work

Health insurance

Paid time off

Job summary

Placements24 is seeking a highly analytical Remote Real Estate Data Analyst to join a forward‑thinking team. You will analyze vast property datasets, forecast values, and create dashboards to inform strategic decisions, impacting a diverse real estate portfolio.

The role requires a Bachelor’s degree in a quantitative field, experience in data analysis, and proficiency in Python, SQL, R, Excel, and visualization tools like Tableau or Power BI. This is a fully remote position.

Qualifications

• Bachelor’s degree in a quantitative field.
• Experience with data analysis in real estate or finance.
• Proficient with Python, R, SQL and Excel.
• Familiar with data visualization tools like Tableau/Power BI.

Responsibilities

• Analyze large real estate datasets to identify trends.
• Develop predictive models for property values and market trends.
• Create dashboards and reports for stakeholders.
• Define and track KPIs to benchmark performance.
• Collaborate with investments, sales and marketing teams on data-driven recommendations.

Skills

Analytical thinking

Detail-oriented

Communication skills

Python

R

SQL

Excel

Education

Bachelor's degree in Data Science/Statistics/Finance/ Economics

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Real Estate Data Analyst to join their forward-thinking team. This fully remote position involves analyzing vast datasets related to the property market, identifying trends, and generating insights to inform strategic decisions across the organization. You will play a crucial role in understanding market dynamics, predicting future trends, and optimizing investment strategies for a diverse property portfolio. This is an excellent opportunity for a data-savvy professional to make a significant impact from anywhere, contributing to data-driven decision-making in the real estate sector.

Key Responsibilities

• Collect, clean, and analyze large datasets from various real estate sources, including market reports, listings, and transactional data.
• Develop and implement predictive models to forecast property values, market trends, and investment returns.
• Create clear and concise data visualizations, dashboards, and reports to communicate findings to stakeholders.
• Identify key performance indicators (KPIs) and track market performance against benchmarks.
• Collaborate with investment, sales, and marketing teams to provide data-driven recommendations.
• Stay current with advancements in data analytics tools and methodologies relevant to the real estate industry.

Requirements

• Bachelor's degree in Data Science, Statistics, Economics, Finance, or a related quantitative field.
• Proven experience as a Data Analyst, with a focus on real estate or financial markets.
• Proficiency in data analysis tools and languages such as Python (Pandas, NumPy), R, SQL, and Excel.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills for reporting and presentation.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work arrangement, offering flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and company holidays.
• Access to cutting-edge data analytics tools and professional development resources.