Data Analyst

Company Overview X Star is a leading Automotive Fintech company that transforms the automotive industry with AI-powered solutions for vehicle valuation, financing, and cross-border transactions. We are committed to enable a smarter, safer, and more efficient global automotive financing ecosystem. Headquartered in Singapore, X Star operates across key markets, including Japan, Malaysia, China and Mexico. Our Singapore business alone has facilitated over SGD 100 million in cumulative loans, demonstrating strong market traction and scalability. Sales and strategy: • Work directly with regional management team and Head of Corporate Planning to (1) develop commercial strategy with timely analysis, and (2) to support new product launching and decision-making. • Drive new operation initiatives end-to-end from conceptualization (including market research and profitability analysis) to execution (project planning, go to market, tracking and monitoring project performance, progress, profitability and ROI). Data Analysis: • Monitoring loan portfolio key matrics and performance, by using analytical tools • Design and develop interactive dashboards and reports using tools, e.g. Power BI and Tableau • Customize dashboards to meet the specific requirements of different business units and stakeholders. • Collaborate with cross-functional teams to develop and implement comprehensive strategic plans that align with company's goals and objectives. (e.g. Expansion planning, budgeting, optimization of marketing, operations and sales strategy) Requirement: • Bachelor's degree in Business Administration, Data Science, Statistics, or a related field; • Min 1-2 years of experience in data analysis, business intelligence, or a similar role • Proficiency in statistical analysis techniques and data visualization tools such as Power BI or Tableau • Strong SQL skills for data manipulation and querying relational databases • Experience with programming languages such as Python or R for data analysis and manipulation • Excellent analytical and problem-solving skills, with attention to detail • Effective communication and collaboration abilities, with the capacity to work across diverse teams • Proven ability to prioritize tasks, meet deadlines, and adapt to changing business requirements • Passion for continuous learning and staying updated with emerging trends and technologies in data analytics • Knowledge of statistical analysis, data modelling, and data mining techniques