Real Estate Data Analyst

Placements24; Kimberley; Sur place; CAD 36 000 - 64 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Performance incentives

Cutting-edge analytics tools

Impactful work on strategy

Professional development

Collaborative environment

Real estate data exposure

Data-driven culture

Résumé du poste

Placements24 seeks a meticulous Real Estate Data Analyst to transform vast datasets into actionable insights for acquisition, development, and marketing in Kimberley. You will collect, clean, analyze, and visualize data on market trends, property performance, and customer behavior, shaping strategic decisions.

The role emphasizes a hands-on approach to data management, strong quantitative skills, and collaboration with cross-functional teams to drive data-driven outcomes in a real estate context.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Economics, CS)
• Minimum 3 years of data analysis experience in real estate or related industry
• Proficiency in SQL, Python, R and data visualization tools (Tableau/Power BI)
• Strong statistical modeling, ML concepts and data mining knowledge
• Excellent analytical, problem-solving and communication skills
• Ability to translate data findings into clear business recommendations
• Attention to detail and data integrity
• Excellent collaboration skills, able to work in a team

Responsabilités

• Collect, clean and organize large real estate data from diverse sources
• Perform in-depth statistical analyses to identify market trends and opportunities
• Develop dashboards and visualizations to present insights to stakeholders
• Create predictive models for property values, market shifts and returns
• Collaborate with sales, marketing and development to meet data needs
• Identify KPIs and track progress against business objectives
• Ensure data accuracy, integrity and security throughout analysis
• Research new data sources and analytical methodologies
• Stay updated with advancements in data analysis tools for real estate

Connaissances

Data analysis

Statistics

Problem solving

Communication

Formation

Bachelor's in Data Science

Statistics / Economics / CS

Outils

SQL

Python (Pandas, NumPy)

R

Tableau

Power BI

Description du poste

About the Role

Our client, a dynamic real estate technology company, is seeking a meticulous and analytical Real Estate Data Analyst to join their team in **Kimberley, Northern Cape**. This role is essential for transforming raw data into actionable insights that drive strategic decisions across property acquisition, development, and marketing. You will be responsible for collecting, cleaning, analyzing, and visualizing complex datasets related to market trends, property performance, and customer behavior. The ideal candidate will have a strong quantitative background, expertise in data analysis tools, and a passion for leveraging data to unlock value in the real estate sector. This position requires a hands‑on approach to data management and interpretation within the **Northern Cape** context.

Key Responsibilities

• Collecting, cleaning, and organizing large volumes of real estate data from various sources.
• Performing in-depth statistical analysis to identify market trends, patterns, and opportunities.
• Developing dashboards and visualizations to present data insights clearly to stakeholders.
• Creating predictive models to forecast property values, market shifts, and investment returns.
• Collaborating with cross-functional teams (e.g., sales, marketing, development) to understand their data needs and provide analytical support.
• Identifying key performance indicators (KPIs) and tracking progress against business objectives.
• Ensuring data accuracy, integrity, and security throughout the analysis process.
• Researching and recommending new data sources and analytical methodologies.
• Staying current with advancements in data analysis tools and techniques relevant to the real estate industry in **Kimberley**.

Requirements

• A Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience in data analysis, with a focus on real estate or a related industry.
• Proficiency in data analysis tools such as SQL, Python (with libraries like Pandas, NumPy), R, and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling, machine learning concepts, and data mining techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to translate complex data findings into clear, concise business recommendations.
• Strong attention to detail and commitment to data accuracy.
• Excellent communication and collaboration skills, able to work effectively within a team in **Northern Cape**.

Benefits

• Competitive salary and performance-based incentives.
• Opportunity to work with cutting-edge data analytics tools and technologies.
• Direct impact on strategic decision-making within a growing company.
• Professional development opportunities and training in advanced analytics.
• A collaborative work environment focused on innovation and data-driven solutions.
• Exposure to a wide range of real estate data and market intelligence.
• Contribute to shaping the future of real estate through data insights in **Kimberley**.