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

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.

• 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.

• 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.