Senior Product Analyst – Application Lifecycle

🕒 May 11

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Lendbuzz

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

💸 Finance

💳 Fintech

Finance • Fintech

Lendbuzz is a US-based fintech company that offers auto loans, private-party vehicle financing, and refinancing solutions by evaluating applicants’ broader financial profiles rather than relying solely on traditional credit scores. The company provides a streamlined digital application and verification process for consumers and partners with car dealerships to originate loans quickly and securely; loans are made by Lendbuzz Funding, LLC.

📋 Description

• Conduct deep-dive exploratory analyses to understand user pain points, “ah-ah” moments, and product usage insights • Collaborate with product teams to build reusable or ad hoc data views, influencing strategy, design, and development • Design, develop, and maintain dashboards and reports using SQL (CTEs, window functions, etc.) or scripting languages, offering real-time visibility into product performance • Track and evaluate the success of product launches and A/B experiments; monitor system and product performance post-launch • Conduct quality checks on analytics events and recommend enhancements to amplify product performance • Participate actively in agile processes, from design through implementation and deployment • Ability to identify trends and conversion opportunities within the loan origination process • Partner with product managers and engineers to design data requirements to ensure proper success measurement of new features • Create anomaly detection that identifies shifts in behavior that could indicate a production issue • Dive deep into user behavior and find insights that informs product teams on how to influence different personas • Analyze verification flows and illuminate opportunities for automation working with product and ML/AI teams • Find ways to measure internal team performance within the underwriting, sales, and funding departments

🎯 Requirements

• 5+ years of experience in data/product analysis • SQL expertise; comfortable with complex queries, including CTEs and window functions • Proficiency in BI tools like Sigma, Tableau, or Power BI; experience with DBT is a plus • Basic knowledge of Python and Git • Strong data experimentation and statistical analysis background • Expertise in product analytics tools like Heap, Amplitude, or Mixpanel • Excellent around cross-functional collaboration (Product, Engineering, Ops) • Strong problem-solving, critical thinking, and business acumen • Creative, proactive, organized, and growth-minded • Fluent in English (written and verbal)