Analytics Lead, Full Stack

About This RoleAI processing…

Key Responsibilities

• 1
  Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities as we expand globally.
• 2
  Operate with a business owner mindset by proactively identifying opportunities through analysis and product sense to enhance user experience, growth, and profitability.
• 3
  Own business problems from end to end by translating analytical insights into recommendations and optimization strategies that support business growth, profitability, and operational excellence.
• 4
  Take ownership of the end-to-end analytics process: define success metrics, generate insights and hypotheses, track performance, and create intuitive dashboards and reports that can be easily shared across the organization. Develop scalable analytics solutions and data models.
• 5
  Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability.
• 6
  Translate analytical findings into clear and compelling narratives and business cases for leadership to inform decision-making.
• 7
  Spearhead weekly cross-functional metric reviews, collaborating with partners to conduct deep dives into significant metric shifts and suggest actionable steps.
• 8
  Partner effectively across Product, Risk, Finance, Commercial, and Operations to align strategies and execute against business objectives.
• 9
  Foster strong cross-functional relationships and establish yourself as a trusted advisor to team members.
• 10
  Mentor and guide junior analysts to deliver high-impact work that drives business results.

Requirements

• Passion to redefine the lending and financial industry for the better.
• Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics. Experience supporting international lending markets, particularly Europe and/or APAC, is highly desirable.
• Demonstrated ability to balance growth objectives with profitability and develop data-driven growth strategies.
• Bachelor's or Master's degree in a quantitatively rigorous subject area such as statistics, mathematics, finance, or economics.
• 5+ years of proven success in a cross-functional analytical role.
• Practical and theoretical knowledge of A/B testing.
• Experience with SQL and performing statistical analysis using Python.
• Experience simultaneously balancing multiple workstreams and prioritizing an analytics roadmap.
• Demonstrated curiosity and a growth mindset, with hands-on experience using AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis, automate workflows, enhance problem-solving, and advocate for AI adoption across analytical workflows.
• Strong interpersonal and communication skills, with the ability to influence both technical and non-technical audiences.
• Comfortable partnering across multiple cross-functional teams, particularly Product, Risk, Commercial, Finance, and Operations.
• Ability to think creatively and critically while thriving in a fast-paced, dynamic, and often ambiguous work environment.
• Willingness to go out of your way to help teammates, with humility and a team-first mindset.
• Previous experience mentoring and guiding junior analysts.

Perks & Benefits