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We are looking for a data-driven Business Analyst to join our team. This role is responsible for bridging the gap between technical data capabilities and market expansion strategies. You will leverage statistical modeling and market research to drive data-driven decision-making and support senior management with high-level financial modeling and risk assessment.
Data Modeling & Analytics: Utilize Python and R Studio to develop predictive models, such as customer churn analysis or market sentiment tracking.
Market Intelligence: Conduct comprehensive research on IT sector trends, competitor movements, and macroeconomic indicators to guide business strategy and supply/demand forecasting.
Financial Analysis: Establish cash flow projections and perform solvency/profitability analyses (NPV, IRR) to support project planning and investment decision-making.
Due Diligence: Scrutinize corporate financial statements, legal documents, and business models to identify operational, market, and legal risk factors.
Stakeholder Reporting: Prepare high-fidelity pitch decks, weekly market commentaries, and research memos to communicate complex data findings to the leadership team.
Operational Execution: Collect and process high-granularity data from economic platforms and manage project-specific documentation and deal deliverables.
Education: Bachelor's degree in Business, Finance, or a related quantitative field.
Technical Proficiency: Advanced command of Python, R Studio, and Excel for data manipulation and visualization.
Analytical Aptitude: Exceptional quantitative ability with a proven track record in financial forecasting and valuation modeling (DCF/CCA).
Industry Knowledge: Experience in analyzing complex business models and performing risk stability assessments is highly preferred.
Communication: Strong proficiency in English and Mandarin is required to analyze regional reports and coordinate with international stakeholders.
Job ID: 143284173
