Product Analytics - Credit Card

As a highly analytical and detail-oriented individual, you will be joining Tiger Analytics" Credit Card Product team. In this role, you will be responsible for leveraging data to gain insights into customer behavior, product performance, and market trends to drive strategic decisions and enhance the credit card portfolio. Your responsibilities will include data extraction and analysis, insight generation and storytelling, product performance monitoring and optimization, risk and compliance analytics, and process improvement. **Responsibilities:** **Data Extraction & Analysis:** - Extract, manipulate, and analyze large datasets using tools like SQL, SAS, Python, or R. - Develop and maintain data models, dashboards, and reports to monitor key performance indicators related to credit card products. - Perform in-depth ad-hoc analysis to identify trends, opportunities, and areas for improvement across the credit card product lifecycle. **Insight Generation & Storytelling:** - Translate complex data findings into clear, actionable insights and recommendations for product managers and senior leadership. - Develop compelling presentations and narratives to communicate insights effectively. - Identify customer needs and behaviors through data analysis to inform product enhancements. **Product Performance Monitoring & Optimization:** - Track and analyze the performance of existing credit card products. - Support the development and evaluation of business cases for new product initiatives. - Collaborate with cross-functional teams to implement data-driven product strategies and campaigns. **Risk & Compliance Analytics:** - Analyze credit card portfolio risk and support the development of risk mitigation strategies. - Ensure all analytical activities comply with relevant regulatory requirements and internal policies. **Process Improvement:** - Continuously seek opportunities to improve data collection, analysis, and reporting processes. - Automate reporting and analytical tasks to increase efficiency. **Skill & Experience:** **Experience:** - 6+ years of experience in a data analytics role within the financial services industry, focusing on credit cards. - Hands-on experience with SQL, SAS, Python, or R for data extraction and manipulation. - Experience with data visualization tools like Tableau or Power BI is desirable. **Skills:** - Strong analytical and problem-solving skills. - Technical proficiency in SQL and/or SAS. - Data visualization abilities. - Business acumen and understanding of credit card business models. - Excellent communication and collaboration skills. - Proactive, self-motivated, and detail-oriented. **Good to have:** - Experience with big data technologies, advanced statistical modeling, machine learning techniques, A/B testing, and financial regulations related to credit cards. **Qualifications:** - Bachelor's degree in a quantitative field; Master's degree is a plus. - Prefer candidates from Tier 1 colleges or business schools.,