Analytics Lead, Full Stack
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Position Overview & Specifications
At Affirm, we exist for the moments that matterβgiving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
We are seeking a highly motivated and analytical individual to join our Growth Analytics International team. This team plays a crucial role in conducting research, monitoring performance, and running experiments to develop exceptional products for both consumers and merchants while driving long-term growth for the business. As Affirm continues expanding into new international markets, this role will be instrumental in establishing the operational analytics framework for new launches, beginning with Australia and expanding into future international markets. The ideal candidate will possess strong analytical and problem-solving abilities, a collaborative mindset, an eagerness to learn, and the patience to tackle complex challenges.
Our team takes an end-to-end business analytics perspective, partnering across the organization to develop recommendations and solutions that enable the business to successfully execute its growth and profitability strategies. This role requires someone who can combine analytical rigor with business acumen to influence decisions and drive measurable outcomes.
What youβll do
- Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities as we expand globally.
- Operate with a business owner mindset by proactively identifying opportunities through analysis and product sense to enhance user experience, growth, and profitability.
- Own business problems from end to end by translating analytical insights into recommendations and optimization strategies that support business growth, profitability, and operational excellence.
- 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.
- Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability.
- Translate analytical findings into clear and compelling narratives and business cases for leadership to inform decision-making.
- Spearhead weekly cross-functional metric reviews, collaborating with partners to conduct deep dives into significant metric shifts and suggest actionable steps.
- Partner effectively across Product, Risk, Finance, Commercial, and Operations to align strategies and execute against business objectives.
- Foster strong cross-functional relationships and establish yourself as a trusted advisor to team members.
- Mentor and guide junior analysts to deliver high-impact work that drives business results.
What we look for:
- 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.
Compensation & Benefits
Pay Grade - M
Equity Grade - 5
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
GBR base pay range per year: Β£113,000 - Β£161,000
Location - Remote UK
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
- Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
- Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
- Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
- Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
Weβre committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, weβre happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United States Work Authorization & Sponsorship Guide
Under United States immigration law (INA Β§ 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:
Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.
Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.
Candidate Preparation Blueprint: Data Science & Analytics
Based on transatlantic hiring benchmarks for Analytics Lead, Full Stack roles across Affirm's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Data Science & Analytics.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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