About 9fin
The world's largest asset class, debt, operates with the worst data.
Technology has revolutionized equity markets with electronic trading, quant algos and instantaneous news. However, in debt capital markets, the picture is completely different. It still behaves like it's in the 1980s; trillions of dollars of trades are placed over the phone, news is slow, and corporate credit information is imperfect and scattered.
Our mission is to change this.
9fin's proprietary technology delivers fast and comprehensive financial, credit, legal & ESG analysis. Our clients are able to make faster, more informed decisions, win more business and most importantly, save time.
Our fast growing list of clients include 9 of the top 10 Investment Banks, leading Asset Managers, Hedge Funds and Law Firms.
What you'll work on
As 9fin's first dedicated functional analytics hire you will partner across Finance, GTM (Sales + Sales Ops), Marketing and Operations. Working closely with 2 product analysts and 3 analytics engineers, you will turn CRM, finance and marketing data into decision-grade insights that move revenue, retention and unit economics metrics.
Design & own core datasets (dbt BigQuery). Author and maintain dbt models, tests, docs and macros that produce production tables for accounts, opportunities, bookings, revenue recognition, customer events and marketing touchpoints.
Commercial performance & forecasting. Lead the development of commercial reports and analyses such as: bookings vs. pipeline reporting, quota attainment, ARR/MRR/NRR rollups, cohort retention, churn drivers, renewal/expansion analysis and short-term forecasting used in leadership reviews.
Acquisition & LTV analytics. Lead the expansion of our marketing and acquisition analyses including channel attribution, CAC, funnel conversion, cohort LTV and payback models.
Operational enablement & automation. Lead discovery with operational teams to define acceptance criteria and ROI. Develop alerts, workflows and self-serve tools that reduce manual effort, improve SLA attainment and surface leading indicators for operational action.
Dashboards and reporting. Design and ship executive and operational dashboards in Omni, create self-serve views, alerts and operational reports used by Sales, Finance and Marketing teams.
Metric governance & QA. Define and surface core business metrics (ARR, NRR, churn, LTV, CAC), and own the semantic layer so that stakeholders trust the numbers.
Ad-hoc, high-impact analysis. Rapidly investigate pricing, segmentation, funnel leaks, win/loss, and experiment outcomes; translate results into clear operational recommendations.
Enablement & documentation. Create playbooks, present findings to senior stakeholders, run training sessions as required
About You
You are a hands-on, senior individual contributor who prefers doing the work end-to-end from discovery to production and thrives on turning complex commercial problems into reliable data products.
Extensive experience in an analytical role supporting Sales, Finance, Marketing or GTM teams. Ideally in a B2B SaaS environment
dbt & BigQuery: commercial experience developing DBT models on top of a modern data warehouse such as BigQuery or Snowflake
Expert SQL: advanced query design, optimisation, and building reusable analytical datasets.
Modern BI: hands-on experience with a modern BI platform with integrated semantic layer (e.g Omni, Looker, Thoughtspot)
Python for analysis: practical experience with pandas/numpy and notebook-based workflows for LTV, attribution, simulations and experimentation analysis.
Domain expertise: deep, practical knowledge in one or more of the following functions & platforms: CRM (e.g. SalesForce), marketing (e.g. Hubspot), Finance, Sales
Metric design & governance: owns semantic models and definitions that govern a single source of truth for core business metrics such as ARR/NRR/churn/LTV/CAC. Bonus points if you have implemented tests or validation to ensure those metrics can be trusted across all teams.
Strong communicator: can translate complex analysis into concise narratives for executives and operators and drive decisions through structured storytelling.
Bias for impact: prioritises work that improves forecast accuracy, reduces CAC, drives retention, or materially accelerates time-to-insight.
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. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
Financial & Insurance
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
Time off
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
Training & Culture
A note from the hiring manager
At 9fin, data isn't just a support function; it's at the core of our product. You'll be surrounded by smart, curious people who are passionate about using data to make better decisions, improve our product, and create meaningful impact. If you're looking for autonomy to own high-impact initiatives from conception through to delivery, and the opportunity to influence the entire organisation, then 9fin might be the perfect fit for you. I'd love to hear from you, apply now to learn more! - Rory, Analytics Engineering Manager
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.
