Analyze large datasets related to residential property trends, sales performance, and customer insights.
Develop and implement machine learning models to score and prioritize leads, assist in the pricing strategy, marketing spends recommendation and construction progress forecasts.
Create and maintain interactive dashboards and reports to visualize data, track KPIs, and inform strategic decisions.
Collaborate with cross-functional teams to identify data requirements and provide analytical support for various departments.
Conduct exploratory data analysis to uncover patterns and insights that inform business strategies.
Present findings, insights, and recommendations to management in a clear and actionable format.
Stay updated on industry trends and advancements in data analytics and machine learning to continuously improve methodologies.
Bachelor s degree in circuit branches or Statistics or a related field is preferred.
2+ years of experience in data analysis, with a focus on machine learning applications is a must.
Proficiency in programming languages such as Python or R, and familiarity with machine learning libraries (scikit-learn, TensorFlow).
Strong knowledge of data manipulation and analysis tools (SQL, Excel).
Experience with data visualization tools (Tableau, Power BI) is highly desirable.
Excellent analytical and problem-solving skills, with a keen attention to detail.
Strong communication skills, capable of conveying complex technical concepts to non-technical stakeholders.
Ability to work collaboratively in a fast-paced, dynamic environment.