Data Analytics

Title: Senior Data Analyst (Lending) Job Type: Direct Hire Only / Full-time Contract Length: Permanent (Full-Time) Pay Range: $80,000 – $140,000 (Base) + Flexibility for top-tier talent Start Date: ASAP Location: Foster City, CA About the Opportunity Our client, a leader in Financial Technology, is looking for a strategic, highly technical Senior Data Analyst to join their team for a permanent engagement. This project involves a blend of deep technical execution and high-level business strategy within their Lending vertical. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly. Key Responsibilities & Deliverables Ad-Hoc Problem Solving: Investigating sudden performance shifts (e.g., "Why did conversions drop for this client?") using various data joins and deep-dive analysis. Advanced Analytics: Transitioning from identifying problems to proposing solutions via regression analysis, cohort analysis, and other statistical methods. Optimization & Ranking: Driving consumer acquisition by ranking pre-approved offers based on a dual-metric of client revenue and likelihood of approval. Data Management: Handling proprietary data, 3rd-party uploads, and complex data environments to ramp up client systems. Client-Facing Presence: Presenting data and recommendations directly to clients in high-stakes meetings with confidence and clarity. Required Skills & Experience 4+years of experience in a similar role (Senior Manager caliber; individual contributor focus). Deep expertise in Advanced SQL and Python for automating reporting functions. This isn't a learning role—you need to be a subject matter expert. Demonstrated ability to work autonomously and manage your own time effectively to meet project goals. Experience with Statistics, Mathematics, Quantitative Analysis, or Economics. This mathematical foundation is non-negotiable. Strong communication skills to provide clear and concise status updates to the project team and bridge the gap between technical data outputs and actionable business KPIs. #J-18808-Ljbffr