Remote Real Estate Data Analyst

Placements24; Richards Bay; Remote; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Fully remote position

Competitive salary package

Performance-based bonuses

Professional growth opportunities

Access to latest analytical tools

Job summary

Placements24 invites a highly skilled Remote Real Estate Data Analyst to join a distributed team. You will collect, clean, and analyze large real estate datasets, build predictive models, and create dashboards using Tableau or Power BI.

The role demands strong Python/SQL skills, a quantitative background, and excellent communication to stakeholders across regions including Richards Bay, KwaZulu-Natal. The position is fully remote, offering flexibility to work from anywhere in South Africa while

Qualifications

• Bachelor's or Master's in a quantitative field (Statistics, Mathematics, Economics, CS, Data Science).
• Proven Data Analyst experience; real estate preference is a plus.
• Strong Python or R programming for analytics and modeling.
• Expertise in SQL for data extraction and manipulation.
• Experience with Tableau or Power BI for visualisation.
• Clear communication, independent remote work capability.

Responsibilities

• Collect, clean, and process large real estate datasets.
• Perform in-depth statistical analysis to identify trends.
• Develop predictive models for property values and demand.
• Create dashboards and reports using Tableau/Power BI.
• Collaborate with cross-functional teams to provide insights.
• Stay updated on new data sources and techniques.
• Automate ETL processes where possible.
• Ensure data accuracy, integrity, and security.
• Present findings to technical and non-technical audiences.

Skills

Python

SQL

Data analysis

Statistics

Education

Bachelor's degree

Master's degree

Tools

Tableau

Power BI

Matplotlib

Pandas

NumPy

Scikit-learn

Job description

About the Role

Our client, a forward-thinking real estate technology company, is seeking a highly skilled and analytical Remote Real Estate Data Analyst to join their distributed team. This role is crucial for uncovering insights from vast datasets to inform strategic business decisions and identify emerging market trends across various regions, including Richards Bay, KwaZulu-Natal . You will be responsible for collecting, cleaning, analysing, and visualising real estate data, developing predictive models, and communicating your findings to stakeholders. The ideal candidate will have a strong quantitative background, exceptional data manipulation skills, and a passion for the real estate industry. This is a fully remote position, offering the flexibility to work from anywhere in South Africa while contributing to a company at the forefront of real estate innovation.

Key Responsibilities

• Collect, clean, and process large datasets related to real estate transactions, market performance, and economic indicators.
• Perform in-depth statistical analysis to identify trends, patterns, and correlations within the real estate market.
• Develop and implement predictive models for forecasting property values, market demand, and investment opportunities.
• Create clear and compelling data visualisations, dashboards, and reports using tools like Tableau or Power BI.
• Collaborate with cross-functional teams (e.g., marketing, sales, product development) to provide data-driven insights and recommendations.
• Stay abreast of new data sources, analytical techniques, and emerging technologies in data science and real estate.
• Automate data extraction, transformation, and loading (ETL) processes where possible.
• Ensure data accuracy, integrity, and security across all analyses.
• Present findings and recommendations to both technical and non-technical audiences.

Requirements

• A Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Proven experience as a Data Analyst, preferably within the real estate sector.
• Strong proficiency in data analysis and statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Expertise in SQL for data extraction and manipulation.
• Experience with data visualisation tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent understanding of statistical modelling and machine learning techniques.
• Strong problem-solving skills and the ability to think critically about complex data challenges.
• Exceptional communication skills, both written and verbal, with the ability to explain technical concepts clearly.
• Must be comfortable working independently in a remote setting and managing own workload effectively.
• A reliable internet connection and a dedicated home office setup.

Benefits

• This is a fully remote position, offering unparalleled flexibility and work-life balance.
• Our client provides a competitive salary package, performance-based bonuses, and opportunities for professional growth and continuous learning in a cutting-edge field.
• You will be part of an innovative and collaborative team that values data-driven insights and cutting-edge technology.
• Access to the latest analytical tools and resources is provided, along with the chance to significantly impact the strategic direction of a growing real estate tech company.