Experience / Entry LevelLos Angeles
Perform deep understanding of real estate business model concerning property management, business operation and investment projects; design analysis logic, establish analysis model and provide data analysis methodology
Initiate and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Utilize Python, SQL and API to identify, collect and process raw data into effective data sets
Apply data analysis tools and statistical techniques, including but not limit to Google Analytics, R, Excel and Database, to analyze market trend, consumers, competitors, SEO ROI and pricing model, providing decision making supports based on the analysis result
Prepare proposal and report with suggested strategy, estimated profit and planning based on data analysis; participate in meetings, such as Pricing Strategy Meeting and Market Expansion Meeting, to present the reports
Develop periodic and ad-hoc reports to summarize and review daily operation according to company/local revenue, financial data, pricing and other internal data
Assist other departments, including but not limit to Marketing and Branding, Business Development, Leasing, Investment Analytics, to collect data and form analysis reports; apply Tableau, Power BI and other tools in data visualization.
Support all other data related work in the company
Bachelor degree or above is required; Major in Mathematics, Economics, Computer Science, Information Management or Statistics is preferred
Proven working experience in Data Visualization and Business Analysis
Technical expertise regarding data modeling, database design development, data mining and segmentation techniques
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Be efficient, passionate, proactive, detail-oriented and quick learning in a fast development pace
Excellent presentation and communication skills
Marketing research or consulting experience is preferred
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