Senior Data Analyst, Servicing

Аналитика рынка

Стек

Откликнуться

Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.

Описание

Senior Data Analyst, Servicing #удаленка #senior Company: Figure Salary: $110k - $150k 🔹What You’ll Do -Design and implement robust data models that transform raw servicing logs into structured, "gold-standard" datasets. You will ensure our servicing data is clean, organized, and optimized for both reporting and advanced analytics. -Build and maintain scalable frameworks to monitor delinquency trends, roll rates, and recovery performance using the structured datasets you’ve engineered. -Elevate our analytics toolkit by writing high-performance BigQuery SQL and designing intuitive Tableau dashboards that empower stakeholders to make data-driven decisions in real-time. -Create and document standardized data schemas that make insights repeatable across the company, ensuring a "single source of truth" for all servicing-related metrics. -Act as the analytical backbone for the Servicing team, translating complex operational workflows into logical data structures that drive measurable financial outcomes. 🔹What We Look For -3–5+ years of experience using data to drive measurable business impact, specifically within loan servicing, collections, or operational analytics. -Deep proficiency in SQL (preferably BigQuery); you are an expert at handling complex joins, subqueries, and window functions to reconstruct borrower payment histories and lifecycle events. -Proven ability to design and maintain structured datasets and schemas that transform messy operational logs into clean, reliable tables for servicing performance. -You don’t just report data; you build intuitive dashboards that help managers visualize roll rates, delinquency buckets, and agent productivity. -Strong understanding of servicing-specific metrics such as Net Charge-Offs (NCO), recovery rates, payoff behaviors, and loss mitigation effectiveness. -Proven track record in a fintech or financial services environment, with a solid grasp of how servicing data feeds back into broader Credit/Risk and Capital Markets strategies. -Working knowledge of Python for data manipulation, automating recurring servicing reports, or performing ad-hoc cohort analysis. -Appreciation for experimental design for A/B testing collections strategies. -Clear, confident ability to translate complex servicing trends into actionable insights for both technical teams and operational leadership. -Comfort navigating the ambiguity of a fast-moving environment and the ability to set analytical direction when servicing workflows or regulations shift. Contact: [link] 🔥 Подписаться на наши каналы / [handle] / [handle]

Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.