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 business results and positive customer outcomes. You prioritize initiatives that will have the greatest impact.
- Dedicated Work Ethic: You are willing to dive deep into the data, tackle challenging problems head-on, and see projects through to completion with rigor and attention to detail.
- Innovator & AI Enthusiast: You are curious about emerging technologies, including AI, and eager to explore how they can be applied to improve analytical processes, models, and marketing effectiveness.
- Hungry for Growth: You have a strong desire to continuously learn, expand your skillset, and seek out new challenges. You are proactive in your own development.
- Thrives in Ambiguity: You are comfortable navigating complex, sometimes undefined problems and can bring structure and clarity to ambiguous situations in a fast-paced environment.
- Real Ownership Mentality: You take full responsibility for your work, from initial analysis to communicating results and influencing action. You treat every challenge as an opportunity to make a difference.
Qualifications:
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- 7+ years of experience in a data analytics role, with significant experience supporting marketing or customer engagement teams, preferably within fintech or a related consumer-facing industry (e.g., banking, credit, e-commerce).
- Proven expertise in SQL for data extraction and manipulation.
- Strong proficiency in at least one programming language for data analysis (e.g., Python, R).
- Extensive experience with A/B testing and experimental design, including understanding of statistical significance and power analysis.
- Experience building dashboards and reports using BI tools (e.g., Tableau, Looker, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to translate business questions into analytical frameworks and deliver actionable insights.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
Preferred Skills:
- Experience with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Knowledge of fundamental data modeling concepts (e.g., relational, dimensional) and experience applying ELT techniques for data integration.
- Familiarity with marketing automation platforms and customer data platforms (CDPs).
- Experience with predictive modeling techniques (e.g., regression, classification) and machine learning concepts.
- Understanding of customer lifetime value (CLTV) modeling and cohort analysis.
- Experience working in an agile development environment.
What's Exciting About the Role:
- Direct Impact: Your analysis and insights will directly shape how we engage with our customers, influencing key marketing strategies and product decisions that help people improve their financial health.
- Challenging Problems: You'll tackle complex analytical challenges related to customer behavior, segmentation, and optimization in a fast-paced, data-rich environment.
- Strategic Partnership: Work closely with marketing and product leaders, acting as a trusted advisor to drive growth and improve the customer experience.
- Growth Opportunities: This Principal role offers the chance to lead significant projects, mentor others, and contribute to the strategic direction of the Analytics team.
- Meaningful Mission: Be part of a company with a mission to make a real difference in people's lives by providing tools to build credit and achieve financial stability.
Base salary range: $ 124,000-165,000 annually. Individual pay is based on factors unique to each candidate, including skill set, experience, and other job-related reasons
We have the compensation and benefits you expect. But there's one thing that Self Financial can offer that many companies cannot: we can positively change the world, while making a profit. We are a team of Builders, empowering our customers to build their dreams. We have a Do the Right Thing ethos in all that we do, and we hope you value that approach, too.
Our perks include:
- Company equity in the form of Stock Options
- Performance-based bonuses
- Generous employer-paid health, vision and dental insurance coverage
- Flexible vacation policy
- Educational assistance
- Free gym membership
- Casual dress code
- Team building events and activities
- Remote work arrangements/ flexible work schedule
- Paid parental leave
Self Financial requires all employees hired to successfully pass a background check.
We are an Equal Opportunity Employer.
At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.
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