Sr 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:

This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:

• 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:

We are looking for someone with a proven track record of successful engagements. The ideal candidate will have:

• 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.

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