Principal Growth Analyst

Position Overview

• Location Type: Not specified
• Employment Type: Not specified
• Salary: Not specified

Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve. Our team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit. We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

Role Summary

As a Principal Analyst on the Analytics team, you will be a critical strategic partner to the Customer Lifecycle Engagement & Monetization teams. You will leverage deep analytical expertise to understand customer behavior across their journey, identify key opportunities for engagement and growth, measure the impact of marketing initiatives, and provide actionable insights to optimize our lifecycle strategies. This role requires a blend of technical skills, business acumen, and the ability to communicate complex findings clearly to diverse stakeholders.

What You Will Do

• Lead complex analytical projects focused on understanding customer lifecycle behavior, segmentation, and engagement drivers.
• Design, execute, and analyze A/B or Multi-variate tests and experiments for various marketing channels (email, push notifications, in-app messaging, SMS) to optimize performance and customer outcomes.
• Develop and maintain dashboards and reporting that provide visibility into key lifecycle marketing KPIs, customer cohorts, and campaign performance.
• Utilize advanced analytical techniques (e.g., statistical modeling, predictive analytics, causal inference) to uncover insights and forecast the impact of initiatives.
• Partner closely with Marketing, Product, Engineering, and Data teams to define measurement strategies, set goals, and influence the product roadmap.
• Communicate findings and recommendations effectively to both technical and non-technical audiences, including senior leadership.
• Mentor and guide junior analysts on best practices in data analysis, experimentation, and communication.
• Stay abreast of industry trends in lifecycle marketing, customer engagement, and analytics best practices.
• Build and refine lifecycle data science models, including frequency models and message prioritization models, to enhance customer engagement and optimize communication strategies.

Who You Are

• Outcome & Impact Focused: You are driven by the desire to see your work translate into tangible results.