Data analyst in content in London

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.

Responsibilities:

• Build engagement measurement beyond readership. Define and instrument the signals that reveal an article's true value; time on page, scroll depth, click-through. Separate genuine engagement from passing interest.
• Build tag-effectiveness analysis and LLM-based content classification so editors can see what actually resonates.
• Measure core and public audiences. Quantify engagement for our core subscriber base (client value) and broader public reach (demand generation), across content, social and video.
• Power data-driven coverage prioritisation. Surface the highest-attention companies and situations so editorial resource hits the most contentious, market-moving stories.
• Track competitive coverage and story attribution. Monitor coverage gaps, timeliness and accuracy versus competitors, and attribute market-moving stories to 9fin.
• Explain what's moving the numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards.
• Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers.
• Be the embedded analytical partner to the newsroom. Work directly with editors, translating content questions into analysis that shapes editorial strategy and helps us build a better distressed product than the competition.

Requirements:

• Proven analytics experience, ideally in media, B2B SaaS or fintech, owning analysis end-to-end and driving real decisions.
• 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).
• Engagement and event analytics — designing tracking/instrumentation and analysing behavioural signals, with the statistical judgement to separate signal from noise.
• Fluent with AI tools — building LLM-based pipelines to classify and analyse content at scale.
• A strong communicator who turns analysis into clear narratives editors and leadership can act on.
• Curious and a fast learner — comfortable grasping distressed-market concepts within a few explanations; a background blending data and storytelling is a real plus.

Desirable:

• Finance or distressed-debt knowledge is a plus, not essential.
• Bonus: content, web, SEO, social or audience/growth analytics.
• Python for deeper analysis.

Conditions:

• 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).
• 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.
• From January 2027, all employees will work from their designated 9fin office on Tuesdays and Wednesdays. Some teams may be asked to be in the office more often, where the nature of their work calls for it. For the rest of the week, you may work from wherever works best for you and your team.