Title: Senior Product Analyst
Company: Split Pay
Location: Lisbon
We're looking for a Senior Product Analyst to join Split Pay, a fintech that just raised $100M+ in a Series B round, providing split rent and mortgage payments for the US market. Backed by leading VC funds, with a founding team boasting experience at Cash App, Dropbox, Square, Amazon and Apple, Split Pay is going through extensive growth and is expanding its analytics team to turn fragmented, fast-growing data into a coherent, trustworthy view of the business.
You will
- Own product analytics across Split Pay's customer journey – acquisition, onboarding, underwriting, payments, retention, and expansion.
- Bring together data scattered across application databases, payment/banking infrastructure, product analytics, marketing, underwriting, and third-party systems into one consistent analytical model.
- Work directly with engineering on event instrumentation, data quality, schemas, pipelines, and source-of-truth datasets.
- Establish clear, consistent definitions for key business and product metrics across teams.
- Design, run, and analyze A/B tests with a very high standard of statistical rigor — sample size, power, randomization, guardrail metrics, and everything that can go wrong (bias, SRM, novelty effects, peeking, multiple comparisons).
- Perform deep-dive analyses into conversion, retention, churn, engagement, payment behavior, and unit economics – and trace unexpected metric movements to their actual root cause.
- Build reusable analytical datasets and tooling instead of one-off queries.
- Partner directly with product and engineering to define success before launch and evaluate results after.
- Use tools like Codex, Claude Code, and other AI systems extensively to speed up SQL, analysis, and documentation – while independently validating output and owning the reasoning behind it.
Requirements
- Significant experience in product analytics, data analytics, decision science, or a similarly quantitative role.
- Exceptional SQL – comfortable exploring large, messy, multi-system datasets and judging whether an analysis can actually be trusted.
- Deep expertise in A/B testing and experimental design, well beyond reading significance off a dashboard.
- Strong grounding in probability, statistics, hypothesis testing, and experimental validity.
- Ability to turn an ambiguous business question into a measurable analytical problem, and to spot a result that's statistically significant but practically meaningless.
- Comfortable working with engineers on data architecture, instrumentation, and pipeline/warehouse design.
- AI-native analytical habits are expected – but not outsourcing judgment to AI. You should be able to challenge generated SQL, catch bad assumptions, and decide if an answer is credible.
- Excellent written and verbal English.
- Fintech, payments, lending, or other complex-transactional-data experience is a strong plus.
- Relocation to Lisbon, Portugal is required.
We offer
- Up to €120k/year salary + equity; higher figures can be negotiated.
- Supplemental private medical insurance, free office lunches, wellness stipend, and other benefits.
- Unusual ownership over the analytics stack behind one of the leanest, fastest-growing fintechs in the market.
