Data Analyst Lead
4 days ago
Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation today Roles and Responsibilities Data Analysis & Reporting Analyze Partnership Performance: Collect, monitor and analyze large data sets related to loan originations from Business Development partnerships, early portfolio performance, other key performance indicators (KPIs) such as lead generation, eligible base, conversion rates, loan take‑up, disbursements, repayment rates and other relevant metrics across all partnership channels. Generate Insights: Use data to uncover trends, identify new opportunities and areas for improvement, and provide actionable insights to the Business Development team to optimize partner performance. Build Dashboards and Reports: Create and maintain comprehensive dashboards and reports that visualize partnership health, funnel performance, and other metrics. Conduct Ad‑Hoc Analysis: Respond to specific business questions with in‑depth data analysis, supporting negotiations and strategic decision‑making. Model and Forecast: Develop models to forecast loan volume, predict partner performance, and assess the potential of new business opportunities. Stakeholder Presentations: Present findings and recommendations to senior management and other stakeholders in a clear and concise manner. Collaboration & Process Improvement Collaborate with Cross‑Functional Teams: Work closely with cross‑functional teams, including Business Development, Products, Credit Risk, Tech, and Data Office, to optimize the loan processes in relation to data transmission and ingestion from partners, to ensure data integrity and to align on business objectives. Process Improvements: Identify opportunities for process improvements and automation within the business development data analysis function. Ad‑hoc Tasks: Participate in ad‑hoc projects and initiatives related to data analysis and reporting. Qualifications Education : Bachelor's degree in Finance, Economics, Statistics, Mathematics, Business Administration, or a related quantitative field. A Master's degree is a plus. Experience : Knowledge in data analysis tools (e.g., SQL, Python, R, SAS); ideally experience in lending and a strong understanding of consumer lending products, credit lifecycle, and credit risk principles. What We Offer Opportunity for career growth and development in the #1 FinTech company in the country. Working with a dynamic and highly collaborative team who want to change the game. A company that values its people with highly competitive and flexible compensation and benefits package. Job Details Seniority level: Entry level Employment type: Full‑time Job function: Information Technology Referrals increase your chances of interviewing at GCash by 2x. #J-18808-Ljbffr
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