At a Glance
- Tasks: Transform marketing data into actionable insights that drive demand and revenue.
- Company: Join a fast-growing AI platform revolutionising global debt markets.
- Benefits: Competitive salary, equity options, hybrid work, and generous holiday allowance.
- Other info: Enjoy professional development opportunities and a vibrant company culture.
- Why this job: Be at the forefront of data-driven marketing in a dynamic start-up environment.
- Qualifications: Proven analytics experience, expert SQL skills, and knowledge of marketing tools.
The predicted salary is between 60000 - 80000 £ per year.
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 be embedded with our marketing team, turning campaign, web and funnel data into the decisions that drive demand and pipeline.
- Sitting within the analytics team alongside our analysts and analytics engineers, you’ll own marketing analytics end‑to‑end, from instrumentation through to the insight that shapes where we spend.
- Own the inbound funnel metrics end‑to‑end. Define and own the metrics across landing → MQL → SQL → trial → conversion, so marketing, sales and leadership trust the same numbers.
- Build multi‑touch attribution. Move beyond last‑touch UTM tracking to attribution that shows which channels and campaigns actually drive pipeline and revenue.
- Measure channel and campaign performance. Show where we’re winning across email, paid media, social, events and SEO — what to scale, and what to stop.
- Connect marketing to revenue. Model CAC, conversion, payback and cohort LTV, and quantify marketing’s contribution to pipeline and bookings, in partnership with our GTM/RevOps analytics.
- Own marketing data models and the semantic layer. Author dbt models on BigQuery integrating HubSpot, Salesforce, Google Analytics and Amplitude, and own the Omni semantic layer so the team gets self‑serve answers as we migrate off Metabase.
- Own instrumentation and lead‑data quality. Design landing‑page and web tracking (UTMs, Amplitude), support lead‑scoring models, and keep marketing and sales numbers aligned, trustworthy and GDPR‑compliant.
- Own web and SEO analytics. Track website traffic, SEO performance and inbound lead quality, and turn it into clear recommendations.
- Be the embedded analytical partner to marketing. Work directly with demand gen and RevOps, translating campaign questions into analysis that drives spend and prioritisation decisions.
About You
- You’re a senior, hands‑on individual contributor with real technical depth who thrives on turning marketing and funnel data into decisions that move pipeline and revenue.
- Proven analytics experience supporting marketing, growth, demand gen or RevOps, ideally in B2B SaaS or fintech.
- Expert SQL for complex analysis, optimisation and reusable datasets.
- dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs.
- Modern BI with an integrated semantic layer — building self‑serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).
- Deep knowledge of the marketing stack — HubSpot (or similar automation/CRM), Salesforce, Google Analytics and digital/web/event analytics.
- Attribution and funnel expertise — multi‑touch attribution, CAC, conversion and LTV/payback, with the statistical judgement to separate signal from noise.
- A strong communicator who turns analysis into clear narratives marketing and leadership can act on.
- Strategic problem solver who owns metric definitions and builds validation so numbers are trusted across teams.
- Bonus: Python for deeper analysis; experience with paid‑media analytics, SEO or marketing experimentation.
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
- Professional learning and development budget
- Quarterly team socials
- Summer and Winter company social events
Equal Opportunity
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.
Senior Data Analyst - Marketing employer: 9fin
At 9fin, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and every team member is empowered to make impactful contributions. Our commitment to employee growth is evident through our generous professional development budget, hybrid working model, and unique benefits such as equity options and the opportunity for a paid sabbatical after five years. Join us in our mission to revolutionise the debt markets while enjoying a supportive environment that values your expertise and encourages collaboration.
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We think this is how you could land Senior Data Analyst - Marketing
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We think you need these skills to ace Senior Data Analyst - Marketing
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at 9fin, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 9fin. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at 9fin
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at 9fin!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
