Remote Analytics Lead, Full-Stack Data Strategy

Ladders; United States; Remote; USD 164,000 - 245,000; Full time

Benefits offered by this job

Medical coverage for you and dependets

Technology & lifestyle stipends

Vacation and holidays

Employee stock purchase plan

Job summary

Ladders is seeking an Analytics Lead, Full Stack to own analytics strategy for a major business area within a Finance & Insurance context. You will partner with product, risk, and business leaders to turn complex data into clear recommendations that balance growth, credit risk, and customer experience.

Design scalable analytical tools, strengthen governance, and mentor the analytics team, while shaping investment decisions.

Qualifications

• 6+ years of experience in analytical roles affecting product or business decisions.
• Expertise in consumer lending and credit, especially in risk and product areas.
• Advanced skills in SQL and Python with focus on statistical analysis.

Responsibilities

• Own analytics strategy for a significant business area, driving investment and performance metrics.
• Lead complex analyses balancing growth, credit risk, and customer experience.
• Convert analytical insights into actionable business recommendations for leadership.
• Design experiments to test product-market fit and economic viability of solutions.
• Collaborate across teams to influence decision-making without formal authority.
• Create scalable models and dashboards to enhance data insights and governance.
• Mentor junior analysts and formalize reusable analytical practices.

Skills

Analytical thinking

Communication

Leadership

Mentoring

Tools

SQL

Python

Job description

Ladders is seeking an Analytics Lead, Full Stack to own analytics strategy for a major business area within a Finance & Insurance context. You will partner with product, risk, and business leaders to turn complex data into clear recommendations that balance growth, credit risk, and customer experience.

Design scalable analytical tools, strengthen governance, and mentor the analytics team, while shaping investment decisions.