Fully Remote Real Estate Data Analyst

Placements24; Bloemfontein; Hybrid; ZAR 420,000 - 720,000; Full time

Benefits offered by this job

Competitive salary package

Performance-based bonuses and stock 옵션

Health, dental, and vision insurance

Generous paid time off

Flexible remote work

Professional development opportunities

Access to cutting-edge analytics tools

Job summary

Placements24 is seeking a skilled Real Estate Data Analyst for a fully remote role within South Africa. You will collect, clean, and analyze large real estate datasets, build dashboards, and develop predictive models to forecast market trends and property values.

Work with cross-functional teams to support strategic initiatives and improve product development. The ideal candidate has 3+ years of data analysis experience, strong Python/SQL skills, and a solid background in statistics and machine

Qualifications

• Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
• 3+ years of experience as a Data Analyst, preferably in real estate or related sector.
• Strong proficiency in Python (Pandas, NumPy) or R for data manipulation.
• Expertise in SQL for querying and managing large databases.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Solid understanding of statistical methods and machine learning techniques.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and transform large volumes of real estate data from various sources, ensuring data accuracy and integrity.
• Develop and maintain dashboards and reports to visualize key real estate market trends, performance metrics, and predictive insights.
• Perform in-depth analysis to identify patterns, correlations, and anomalies within real estate data, providing actionable recommendations.
• Collaborate with product, marketing, and sales teams to understand their data needs and provide analytical support for strategic initiatives.
• Build and refine predictive models to forecast market trends, property values, and investment potential.
• Automate data collection and reporting processes where possible to improve efficiency.
• Contribute to the development of data-driven strategies and identify new opportunities for data utilization within the company.
• Stay current with the latest trends and technologies in data analysis and real estate analytics.

Skills

Analytical thinking

Problem solving

Critical thinking

Communication

Time management

Independent work

Education

Bachelor's degree in Data Science/Statistics/ economics/ CS

Tools

Python (Pandas/NumPy)

SQL

Tableau

Power BI

Looker

Job description

About the Role

Our client, a forward-thinking real estate technology company, is seeking a skilled and motivated Fully Remote Real Estate Data Analyst . This is a remote-first position, allowing you to work from anywhere within South Africa. You will be responsible for collecting, analysing, and interpreting complex datasets related to the property market. Your insights will drive strategic decisions, improve product development, and enhance our understanding of market dynamics. This role requires a strong analytical mindset, proficiency in data manipulation and visualization tools, and a passion for leveraging data to unlock opportunities in the real estate sector. You will be an integral part of a globally distributed team, contributing to innovative solutions.

Key Responsibilities

• Collect, clean, and transform large volumes of real estate data from various sources, ensuring data accuracy and integrity.
• Develop and maintain dashboards and reports to visualize key real estate market trends, performance metrics, and predictive insights.
• Perform in-depth analysis to identify patterns, correlations, and anomalies within real estate data, providing actionable recommendations.
• Collaborate with product, marketing, and sales teams to understand their data needs and provide analytical support for strategic initiatives.
• Build and refine predictive models to forecast market trends, property values, and investment potential.
• Automate data collection and reporting processes where possible to improve efficiency.
• Contribute to the development of data-driven strategies and identify new opportunities for data utilization within the company.
• Stay current with the latest trends and technologies in data analysis and real estate analytics.

Requirements

• Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, preferably within the real estate industry or a related sector.
• Strong proficiency in data manipulation and analysis tools such as Python (Pandas, NumPy) or R.
• Expertise in SQL for querying and managing large databases.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Solid understanding of statistical methods and machine learning techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain technical findings to non-technical audiences.
• Proven ability to work independently and manage time effectively in a remote work setting.

Benefits

• Competitive salary package with regular performance reviews.
• Performance-based bonuses and potential stock options.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and company holidays.
• Flexible work hours and a fully remote working environment.
• Opportunities for professional development, online courses, and conference attendance.
• Access to cutting-edge technology and analytics platforms.
• Be part of an innovative and growing company shaping the future of real estate.