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# Analytics Lead, Full Stack

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/affirm.md)Share14 Sep 2026Published35Listing views3Application actions14 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryAffirm is hiring an Analytics Lead to build and scale the operational analytics framework for international growth, beginning with Australia. The role owns end-to-end business analytics, including metric design, experimentation, dashboards, data models, performance monitoring, and translating findings into growth and profitability recommendations. It partners closely with Product, Risk, Finance, Commercial, and Operations, while leading weekly metric reviews and mentoring junior analysts. Candidates need 5+ years of cross-functional analytics experience, strong SQL, Python, statistical analysis, A/B testing, lending economics knowledge, and influential communication skills. This is a senior, remote UK role in a fast-moving and ambiguous fintech expansion environment.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a high-complexity lead role because it requires creating scalable analytics practices for new international markets while balancing product growth, credit risk, unit economics, and profitability. Success depends on independently resolving ambiguous questions, influencing senior cross-functional stakeholders, and delivering rigorous experimental and operational insights.

## Salary analysis

Estimated compensation compared with the broader UK market for similar roles.

Estimated job medianMarket rate£137,000UK market range£130k–£190k0£209k

AI insightThe disclosed UK base-pay range is £113,000–£161,000 per year, with a midpoint of £137,000. The stated range is compensation for the role and excludes separate benefits, monthly spending stipends, and potential equity rewards. For comparison, the estimated US-market annual base-salary range for a senior analytics lead in fintech is $130,000–$190,000, varying by location, lending-domain expertise, leadership scope, and technical depth.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Business analytics](https://jobicy.com/jobs?search_keywords=Business%20analytics.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Statistical analysis](https://jobicy.com/jobs?search_keywords=Statistical%20analysis.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Dashboard development](https://jobicy.com/jobs?search_keywords=Dashboard%20development.md)[Consumer lending](https://jobicy.com/jobs?search_keywords=Consumer%20lending.md)[Growth strategy](https://jobicy.com/jobs?search_keywords=Growth%20strategy.md)[Cross-functional leadership](https://jobicy.com/jobs?search_keywords=Cross-functional%20leadership.md)

Sample interview questionsHow would you establish an analytics framework for a newly launched international lending market?I would begin by aligning with Product, Risk, Finance, Commercial, and Operations on the market’s objectives, customer journey, risk appetite, and economic model. I would define a metric tree spanning acquisition, conversion, approval rates, activation, repayment, loss performance, contribution margin, and retention; then build reliable source data, documented definitions, dashboards, and review cadences. I would prioritize instrumentation and data-quality checks early, establish experiment standards, and iteratively refine the framework as product-market fit and portfolio maturity develop.

Describe how you would evaluate whether a growth initiative is profitable rather than merely increasing volume.

I would assess incremental impact using a controlled experiment or credible quasi-experimental design, rather than relying solely on before-and-after trends. The analysis would connect acquisition and conversion lift to incremental revenue, funding costs, servicing costs, fraud and credit losses, incentives, and downstream retention. I would present sensitivity scenarios and a recommendation based on contribution profit, payback period, risk trade-offs, and operational capacity.

What is your approach to investigating a significant shift in a weekly business metric?

I would first validate the metric definition, pipeline health, and freshness to rule out reporting issues. Next, I would decompose the shift by key dimensions such as market, merchant, channel, customer cohort, product flow, credit segment, and time, then quantify the largest contributors. I would form and test hypotheses with cross-functional partners, distinguish correlation from likely causal drivers, and conclude with a clear action plan, owner, expected impact, and follow-up measurement.

How have you used A/B testing to influence a product or business decision?

I start by defining the decision, primary success metric, guardrails, target population, and minimum detectable effect before launch. I ensure randomization and instrumentation are sound, monitor for sample-ratio mismatch and unintended risk or customer-experience effects, and analyze results with appropriate statistical methods. I communicate the business implications in plain language, including uncertainty and segment differences, so stakeholders can make a well-calibrated rollout decision.

How would you mentor junior analysts while maintaining a high-impact analytics roadmap?

I would set clear problem statements, quality standards, and decision deadlines, then match projects to each analyst’s development goals and readiness. Through regular reviews, I would coach on analytical framing, SQL and Python practices, experiment design, stakeholder communication, and concise storytelling rather than simply rewriting work. I would protect time for roadmap prioritization by using reusable templates, documented metric definitions, and delegation with accountable checkpoints.

At Affirm, we exist for the moments that matter—giving 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 you’ll 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: £113,000 – £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.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re 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](https://www.affirm.com/global-candidate-privacy-notice) and consent to the use of your personal information as described.

Show more

[Apply now >](https://jobicy.com/jobs/153266-analytics-lead-full-stack.md)

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