Senior Product Analyst

About 9fin

9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.

What you’ll work on

• You'll sit at the core of how 9fin builds our product; turning behavioural data into the decisions that shape our roadmap.
• Own North Star Metrics across product squads. Define, sign off and implement NSMs for each product team end-to-end, from metric definition with PMs, to dbt models on BigQuery, to Omni topics and dashboards that become the source of truth.
• Build and own product data models. Author and maintain dbt models, tests and docs that turn raw event streams into reliable, reusable product datasets, and own the Omni semantic layer (topics, metrics, dimensions) so stakeholders trust the numbers.
• Own instrumentation as a governed product. Design and maintain the event taxonomy, embed a tracking spec into every PRD before build, and partner with engineering to reconcile front-end (Amplitude) and backend events so data is trustworthy by design.
• Drive post-launch, retention and activation analysis. Diagnose how features land — measuring adoption, retention, time-to-value and activation by persona, using Amplitude, SQL and Omni to turn findings into clear recommendations.
• Be the analytical partner to Product. Embed in discovery and PRDs, define success metrics, size opportunities to inform prioritisation, and translate ambiguous questions into analysis that drives roadmap decisions.
• Answer high-impact ad-hoc questions. Rapidly investigate usage, segmentation, funnels and data-quality issues for product, leadership and commercial stakeholders.
• Connect product usage to commercial outcomes. Move from user-level to account- and seat-level analytics — breadth and depth of adoption, seat/licence utilisation and champion engagement — to surface account-health signals and product-qualified accounts that predict renewal, churn and expansion, in partnership with our GTM analytics.
• Establish a fit-for-scale experimentation and causal-inference approach. Pragmatic methods suited to our sample sizes (Bayesian readouts, holdouts, pre/post and quasi-experiments, guardrail metrics), and the judgement to know when to triangulate rather than A/B test.
• Apply predictive modelling where it drives action. Churn and expansion propensity models that feed commercial and product decisions.
• Raise the bar on AI product analytics. Measure and improve the quality of our AI products (AI Chat, AI Research Grid) through resolution, feedback loops, cost-per-query and AI-specific retention.

About You

• You're a hands-on, senior individual contributor who thrives on owning product analytics from instrumentation to insight, and on turning ambiguous product questions into reliable data products that change decisions.
• Proven product analytics experience, ideally in a fast-paced B2B SaaS or fintech environment, with a track record of driving product impact through analysis.
• Expert SQL for complex analysis, optimisation and building reusable analytical datasets.
• dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building and maintaining production models, tests and docs.
• Modern product analytics tooling. Deep proficiency with Amplitude (or Mixpanel), including designing event taxonomies and conducting behavioural, retention and funnel analysis.
• Modern BI with an integrated semantic layer. Hands-on experience building intuitive, self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).
• Metric design & governance. Owns single-source-of-truth definitions for core product metrics and builds validation so they can be trusted across teams.
• Strong communicator who turns complex analysis into concise narratives for executives and operators, and drives decisions through structured storytelling.
• Strategic problem solver with the autonomy to resolve ambiguous, high-impact challenges and continuously improve data processes and documentation.
• Bonus: Python for deeper analysis and modelling (pandas/numpy, simple ML); experience tying product usage to commercial outcomes; experience measuring AI/LLM products.

Our benefits

• We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people.
• Competitive Salary (our salary bands are benchmarked at the top end of the market)
• Equity options
• Pension (your minimum contributions are 4% with 9fin matching up to 7%)
• Private Medical Insurance
• Paid sick leave with Income Protection for long periods of illness
• Group Life Assurance
• Season Ticket Loan & Cycle to Work schemes
• 25 holiday days per year
• Local public holidays (with the ability to exchange them for alternative days)
• Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work
• Work abroad for up to 3 months a year
• 1 month paid sabbatical after 5 years of service
• Enhanced parental leave & flexible working arrangements available
• Professional learning and development budget
• Quarterly team socials
• Summer and Winter company social events

9fin is an equal opportunities employer. At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.