Product Analytics Manager, Lendbuzz
$160-185k
Car financing platform
Be an early applicant
Car financing platform
201-500 employees
Be an early applicant
$160-185k
201-500 employees
Company mission
To help you build your credit and get your dream car with our excellent services.
Role
Who you are
- 7+ years of experience in product analytics, data science, or a related field, with a strong foundation in SQL and data visualization tools (e.g., Sigma, Tableau)
- 2+ year managing senior and junior analysts
- Strong leader that understands the value of mentoring and growing skillsets within their team
- Experience supporting product teams in fast-paced, high-growth environments
- Strong business acumen and ability to translate complex data into clear recommendations
- Demonstrated success using analytics to drive product or operational improvements
- Familiarity with credit, underwriting, or verification workflows is a strong plus
- Comfort working with ambiguous problems and a track record of leading cross-functional projects with measurable business impact
What the job involves
- We are seeking a data-driven Product Analytics Manager to join our team and take product analytics to the next level here at Lendbuzz
- In this role, you will lead a team of senior and mid level product analysts that drive strategy and decisioning throughout the product lifecycle
- Your focus will be analyzing the loan lifecycle looking for opportunities to improve conversion, efficiency, and customer happiness all along the way
- Build out a team of high-performing analysts that provides the product teams with monitoring support, strategic insights for roadmaps, and prioritization clarity
- Partner with data engineering leadership to create mature foundations that enables analytics to scale with rapid growth
- Own analytics for our loan origination process driving actionable insights across Credit Verifications, AI Verifications, Fraud, and Loan Servicing
- Develop metrics frameworks, dashboards, and KPIs to monitor and improve all aspects of the product lifecycle
- Partner closely with Product and Engineering to define and measure success across automation initiatives and platform enhancements
- Conduct deep-dive analyses to identify opportunities for operational efficiency and improved decision accuracy
- Work with AI/ML teams to validate model performance and guide data-driven prioritization
- Lead experimentation and A/B testing efforts to validate product improvements and changes
- Mentor and collaborate with other analysts and product team members to build a culture of data-driven decision making
Our take
On a mission to help individuals currently underserved by the traditional credit system, Lendbuzz is an automobile finance platform that uses machine learning and AI to help consumers with little to no credit history access financing when buying a car.
Research found that nearly two thirds of consumers want to improve their credit scores, likely because it’s deemed the only way to access loans and credit cards. Whilst banks and traditional lenders assess credit based on FICO scores, Lendbuzz finds new signals and other relevant data to assess a person’s credit worthiness.
$100 million in lending capital from Mitsubishi UFJ Financial Group is fuelling more warehouse capacity for Lendbuzz's loan origination growth. It has secured its substantial investment thanks to a prolonged period of high performance, having established a year-on-year loan originations growth of more than 100% per annum.
Freddie
Company Specialist at Welcome to the Jungle
Insights
33% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Oct 2023
$45m
LATE VC
Aug 2022
$43.7m
LATE VC
Total funding: $366.1m
Company benefits
- Dental and Health Insurance
- Company Outings
- 401(k)
- Fitness Center
- Unlimited PTO
- Stocked Kitchen
- Company Issued Hardware
- Cool Swag
Company HQ
Financial District, Boston, MA
Leadership
Amitay Kalmar
(CEO)Previously served as Vice President of Technology Investment Banking for Deutsche Bank, and Project Manager for IDF.
Dan Raviv
(CTO)Previously worked in Research for both Massachusetts Institute of Technology (MIT) and Hewlett-Packard.
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