Remote Senior Real Estate Data Analyst

Placements24; Queenstown; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Bonuses

Health insurance

Retirement plan

Professional development budget

Flexible hours

Fully remote

Remote team culture

Equipment stipend

Job summary

Placements24 seeks a Senior Real Estate Data Analyst to drive data-informed decisions across market analysis, investments, product development, and operations in a fully remote setting. You will collect, clean, analyze, and interpret large real estate datasets, build models, and provide actionable recommendations to senior leadership.

The role requires a Master’s degree or PhD in a quantitative field, 7+ years of real estate data experience, strong Python or R, SQL, and BI tools, plus excellent

Qualifications

• Master's degree or PhD in a quantitative field.
• Minimum 7 years of progressive data analysis experience with real estate focus.
• Expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in Python or R, and SQL for data manipulation and analysis.
• Experience with data visualization tools (Tableau, Power BI) and BI platforms.

Responsibilities

• Collect, clean, and organize large datasets related to real estate markets, property transactions, and economic indicators.
• Develop advanced statistical models and machine learning algorithms for predictive analysis and forecasting.
• Analyze market trends, identify investment opportunities, and assess portfolio performance using data-driven insights.
• Create data visualizations, dashboards, and reports to communicate findings to technical and non-technical audiences.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Mentor junior analysts and contribute to process improvement in data analysis tools.

Skills

Statistical modeling

Machine learning

Data mining

Analytical thinking

Communication

Remote collaboration

Education

Master's or PhD in a quantitative field

Tools

Python

R

SQL

Tableau

Power BI

Job description

About the Role

Our client, a leading proptech company, is seeking a highly experienced Senior Real Estate Data Analyst to join their fully remote team. This role is critical for driving data-informed decision-making across all aspects of the business, from market analysis and investment strategies to product development and operational efficiency. The successful candidate will be responsible for collecting, cleaning, analyzing, and interpreting vast amounts of real estate data from various sources. You will develop complex data models, generate insightful reports and visualizations, and provide actionable recommendations to senior leadership. This position requires a deep understanding of real estate market dynamics, statistical analysis, and advanced data manipulation techniques. We are looking for a proactive individual who thrives on uncovering hidden patterns and trends within large datasets and can translate these insights into tangible business value. As a fully remote position, strong self-discipline, excellent communication skills, and the ability to collaborate effectively with a distributed team are paramount. This role offers the chance to shape the future of real estate analytics from anywhere in the country.

Key Responsibilities

• Collecting, cleaning, and organizing large datasets related to real estate markets, property transactions, and economic indicators.
• Developing and implementing advanced statistical models and machine learning algorithms for predictive analysis and forecasting.
• Analyzing market trends, identifying investment opportunities, and assessing portfolio performance using data-driven insights.
• Creating compelling data visualizations, dashboards, and reports to communicate complex findings to both technical and non-technical audiences.
• Collaborating with cross-functional teams (e.g., product, marketing, sales, investment) to understand their data needs and provide analytical support.
• Identifying key performance indicators (KPIs) and developing tracking mechanisms to measure business success.
• Staying current with industry best practices, new technologies, and emerging trends in data analytics and real estate.
• Mentoring junior analysts and contributing to the continuous improvement of data analysis processes and tools.

Requirements

• A Master's degree or PhD in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 7 years of progressive experience in data analysis, with a significant focus on the real estate industry.
• Expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python or R, and SQL for data manipulation and analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI) and BI platforms.
• Strong understanding of real estate market data, valuation methods, and investment principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts clearly.
• Proven ability to work independently and manage multiple projects in a remote setting.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company matching.
• Generous professional development budget for conferences, courses, and certifications.
• Flexible working hours and a fully remote work environment.
• Opportunity to work with cutting-edge technology and innovative solutions in proptech.
• A collaborative and intellectually stimulating remote team culture.
• Company-provided equipment and home office setup stipend.