Senior Data Analyst

About the role

You will be embedded directly within the editorial workflow of a leading financial media platform, using data to define and elevate the coverage strategy for the global debt markets. This role owns the end-to-end analytics for content performance, transforming raw engagement signals into actionable editorial insight that drives what the world reads about distressed debt and financial risk. You will design and implement measurement frameworks that move beyond simple pageviews, instead capturing true reader value through sophisticated behavioral analysis. A core part of your work involves building systems that differentiate meaningful engagement from superficial traffic, leveraging both traditional analytics and advanced LLM-based classification techniques. You will be responsible for quantifying how both core subscribers and the broader public interact with 9fin's reporting across every channel, ensuring the editorial team understands audience depth and reach. This position will power the strategic prioritization of coverage by identifying the most market-moving companies and stories based on real-time attention data. You will also track how competitors cover key stories, providing attribution and timeliness analysis that highlights 9fin's unique editorial vantage point in the market. Ultimately, you will build reproducible diagnostic frameworks that explain why metrics move, creating durable analytical assets rather than one-off reports that guide the newsroom's next move.

Key facts

What you'll do

• Architect advanced engagement measurement models that define value beyond readership, instrumenting signals such as time on page and scroll depth.
• Construct tag effectiveness audits and deploy LLM-driven content classification to isolate genuine reader resonance from incidental views.
• Architect audience measurement for both core client subscribers and broad public reach, quantifying engagement across content, social, and video ecosystems.
• Develop data-driven frameworks that surface the highest-attention companies and situations to guide editorial resource toward the most contentious market events.
• Establish tracking systems for competitive coverage and story attribution, monitoring gaps in timeliness and accuracy relative to industry peers.
• Build diagnostic analysis that identifies the specific drivers of metric spikes, replacing one-off dashboards with reusable analytical frameworks.
• Engineer and maintain the semantic layer by authoring dbt models in BigQuery, ensuring the Omni layer delivers fast, trustworthy, self-serve data to the entire newsroom.
• Serve as the embedded analytical partner to editorial leadership, translating complex content questions into clear strategic narratives that shape future coverage.
• Implement event tracking strategies that capture nuanced reader behavior, applying statistical judgment to separate signal from noise in high-volume environments.
• Optimize content classification pipelines using AI tools to analyze and categorize vast libraries of financial reporting at scale.
• Define and own the content data schema, ensuring consistency and reliability as measurement complexity increases across multiple product lines.
• Partner with analytics engineers to transform raw interaction data into curated datasets that support real-time editorial decision-making.
• Establish governance standards for content metrics, aligning definitions and logic across teams to maintain analytical integrity.
• Drive experiments to test hypotheses about reader preferences, using results to refine the editorial calendar and topic selection.

Requirements

• Bring proven analytics experience from media, B2B SaaS, or fintech backgrounds, with a track record of owning analysis from insight to action.
• Demonstrate expert-level SQL capabilities for complex transformations, optimization, and the creation of reusable analytical datasets.
• Apply commercial experience with dbt and a cloud data warehouse such as BigQuery or Snowflake, including production-grade modeling, testing, and documentation.
• Implement modern business intelligence practices using integrated semantic layers like Omni, Looker, or Thoughtspot to build self-serve dashboards.
• Design and analyze engagement and event tracking, showing the ability to instrument new behaviors and analyze nuanced behavioral signals.
• Utilize AI and LLM tools to build scalable pipelines for content analysis, classification, and insight generation at large volumes.
• Translate complex analytical findings into clear, narrative-driven communication that editors and leadership can understand and act upon.
• Exhibit intense curiosity and rapid learning skills, quickly mastering distressed-market concepts after minimal explanation.
• Blend a background in data with an appreciation for storytelling, finding patterns in financial data that inform compelling narratives.
• Hold fluency in understanding how financial products and risk metrics are structured, even if prior specific debt market knowledge is not required.
• Show strong written and verbal communication skills, ensuring insights are delivered in formats that drive editorial collaboration.
• Operate effectively in a fast-paced startup environment, balancing multiple priorities with ownership and discipline.
• Meet high standards of professionalism and reliability, ensuring commitments to internal partners are consistently fulfilled.
• Be prepared for hybrid work arrangements that require physical presence in the London office on a regular basis.

Nice to have

• Hands-on experience building content, web, SEO, social, or audience and growth analytics in a high-traffic environment.
• Demonstrated ability to write Python scripts for deeper data analysis and automation of repetitive investigative tasks.

Practical notes

The role is based in London and requires hybrid working, with some days in the office required. The position is a full-time engagement with a competitive benefits package. Candidates must be eligible to work in the UK without sponsorship. The role reports to senior analytics leadership and involves close collaboration with global teams across the US and EMEA regions.