Data Analyst

2 months ago


مصر, Egypt Nawy Real Estate Full time

1. Data Analysis: Collect, clean, and analyze large volumes of structured and unstructured data from various sources to extract meaningful insights and patterns.

2. Statistical Modeling: Develop and implement statistical models, algorithms, and machine learning techniques to solve complex business problems and predict market trends in the real estate industry.

3. Data Visualization: Create visually compelling and easy-to-understand dashboards, reports, and visualizations to communicate insights and findings to stakeholders.

4. Predictive Analytics: Build predictive models to identify opportunities and risks, optimize business processes, and improve decision-making across various functions such as sales, marketing, and operations.

5. Data Mining and Exploration: Identify and explore new data sources, tools, and techniques to enhance data collection, analysis, and modeling capabilities.

6. Collaborative Problem Solving: Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to define and prioritize business problems and develop data-driven solutions.

7. Performance Evaluation: Conduct A/B testing, performance tracking, and model validation to ensure accuracy and reliability of models and algorithms.

**Requirements**:
1. Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Relevant certifications are a plus.

2. Experience: 1-2 years of hands-on experience in data analysis, statistical modeling, and machine learning in a professional setting. Experience in the real estate or property technology industry is highly desirable.

3. Technical Skills: Proficiency in programming languages such as Python or R, along with experience in data manipulation and analysis using SQL. Knowledge of machine learning libraries (e.g., TensorFlow, scikit-learn) and data visualization tools (e.g., Tableau, Power BI) is preferred.

4. Analytical Thinking: Strong problem-solving skills with the ability to extract insights from complex datasets and translate them into actionable recommendations.

5. Business Acumen: Understanding of the real estate market and related industry trends. Ability to identify business opportunities and provide data-driven solutions to drive growth and efficiency.

6. Communication Skills: Excellent verbal and written communication skills to effectively communicate complex ideas and findings to both technical and non-technical stakeholders.

7. Team Player: Proven ability to work collaboratively in a cross-functional team environment, with a passion for learning and sharing knowledge.

8. Adaptability: Comfortable working in a fast-paced startup environment with evolving priorities and the ability to adapt quickly to changing requirements and technologies.

**Benefits



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