Analytics Lead, Full Stack

AffirmAffirm·Remote(Remote US)
Data & Analytics
GTMAdjust

WFA Digital Insight

As the demand for data-driven decision-making in the fintech space surges, professionals with expertise in marketplace analytics are in high demand. With over 70% of companies adopting buy-now-pay-later solutions, the role of an Analytics Lead has become pivotal. Affirm, a pioneer in honest and transparent credit, is looking for a skilled Analytics Lead to propel its marketplace forward. With the global digital payments market projected to reach

0 trillion by 2026, this is an opportune time to join a company that's reshaping the future of commerce. Before applying, candidates should be prepared to demonstrate their proficiency in analytics tools, supply-demand dynamics, and a deep understanding of marketplace economics.

Job Description

About the Role

The Analytics Lead, Full Stack, will play a critical role in architecting and optimizing the economic engine of Affirm's marketplace. This involves balancing supply, demand, pricing, and user experience to drive sustainable growth. As a key member of the Risk & Analytics team, you will be responsible for making data-driven decisions that inform business strategy, ensuring the efficient growth of Affirm. The ideal candidate will have a strong intuition for marketplace dynamics and experience in working with data tools such as SQL, Python, and DBT. This role requires collaboration with various teams, including Product, Engineering, Sales, and Marketing, to drive business outcomes. If you are passionate about leveraging data to drive business decisions and have experience in marketplace analytics, this could be the perfect opportunity for you. The Analytics Lead will report to the senior leadership team and will be responsible for overseeing the analytical lifecycle, from initial question to final business decision. This is a high-impact role that requires ownership, strong judgment, and a bias toward action.

What You Will Do

  • Own marketplace monetization and economics, balancing merchant supply, consumer demand, and pricing to drive engagement, conversion, and profitability.
  • Monitor marketplace performance and adjust strategies based on engagement, relevance, merchant outcomes, LTV, and overall health.
  • Build and maintain dashboards and reporting to track key Marketplace KPIs and enable data-driven decisions.
  • Partner with Sales, Client Success, and Marketing to grow marketplace partners and increase merchant value.
  • Collaborate with Product and Engineering to improve the effectiveness, competitiveness, and relevance of Marketplace inventory and offers.
  • Analyze supply-side dynamics, including incentives, pricing, and placement, to understand elasticity and drive incremental GMV.
  • Lead analyses and experiments to test and refine new placements and optimize marketplace performance.
  • Conduct loan-level profitability analyses to ensure offers align with credit and financial goals while balancing consumer and merchant value.
  • Evaluate affiliate portfolio performance by integrating network data, identifying trends, and assessing the incremental impact of merchant-funded incentives.

What We Are Looking For

  • 7+ years of experience in analytics, with a focus on marketplaces, ads/affiliate ecosystems, or two-sided platforms.
  • Strong intuition for supply-demand dynamics, pricing, and marketplace tradeoffs.
  • Experience with data tools such as SQL, Python, DBT, and Sigma, with a comfort level in managing ETLs and working with engineering teams to optimize data pipelines.
  • Strong curiosity and a bias toward leveraging AI tools to accelerate analysis, automate workflows, and increase personal and team productivity.
  • Experience working cross-functionally with Product, GTM, and Engineering teams.
  • High ownership, strong judgment, and a bias toward action.
  • Ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
  • Strong understanding of statistical concepts and experience with hypothesis testing.

Nice to Have

  • Experience with cloud-based data platforms such as AWS or GCP.
  • Knowledge of machine learning algorithms and their application in marketplace optimization.
  • Certification in data science or a related field.
  • Experience with data visualization tools such as Tableau or Power BI.

Benefits and Perks

  • Competitive salary and equity package.
  • Opportunity to work with a talented team of professionals who are passionate about reinventing credit.
  • Flexible working hours and remote work options.
  • Comprehensive health insurance package, including dental and vision.
  • 401(k) matching program to help you plan for your future.
  • Generous parental leave policy to support you and your family.
  • Access to a variety of professional development opportunities, including workshops and conferences.

How to Stand Out

  • Ensure your resume and cover letter highlight your experience with data tools like SQL and Python, as well as your understanding of marketplace dynamics.
  • Be prepared to discuss specific examples of how you've used data to drive business decisions in previous roles.
  • Showcase your ability to communicate complex ideas to both technical and non-technical stakeholders.
  • Research Affirm's products and services to understand the company's mission and how your role contributes to its goals.
  • Consider preparing questions to ask the interviewer about the company culture, team dynamics, and opportunities for growth and development.
  • Demonstrate your passion for leveraging data to drive business decisions and your enthusiasm for working in a fast-paced, dynamic environment.

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