Senior Data Analyst – Content

Overview

In this role you will be embedded with the newsroom to transform engagement and coverage data into editorial decisions. You’ll own content analytics end-to-end, from data instrumentation to delivering insights that guide what editors publish. You’ll develop signals to measure true article value, assess audience reach, and support data-driven coverage prioritisation. You’ll work closely with editors, analysts, and engineers to build scalable analyses and a trustworthy semantic layer that powers fast, self-serve answers.

Pay / Benefits

• Competitive salary
• Equity options
• Pension with employer contributions
• Private medical insurance
• Paid sick leave with income protection
• Hybrid working model

Responsibilities

• Own content analytics end-to-end from instrumentation to insight that informs editorial strategy
• Define and instrument engagement signals beyond readership (time on page, scroll depth, CTR)
• Develop tag-effectiveness analysis and LLM-based content classification for editors
• Measure core and public audiences for subscriber value and broader reach across content, social, and video
• Support data-driven coverage prioritisation by surfacing high-attention companies and market-moving stories
• Track competitive coverage, gaps, timeliness, and attribution of market-moving stories to 9fin
• Diagnose drivers of content metrics and build reproducible analysis frameworks
• Own content datasets and the semantic layer (dbt models on BigQuery) to enable fast, trustworthy self-serve answers
• Act as embedded analytics partner to newsroom, translating questions into actionable analysis for editorial strategy and product
• Collaborate with editors to shape coverage and contribute to a competitive distressed-product offering

Key requirements

• Senior, hands-on contributor with deep technical depth
• Proven analytics experience in media, B2B SaaS, or fintech
• Expert SQL for complex analysis, optimisation, and reusable datasets
• dbt and a cloud data warehouse (BigQuery, Snowflake or similar) with production models, tests, and docs
• Modern BI with a semantic layer (Omni, Looker, Thoughtspot) and self-serve dashboards
• Engagement and event analytics; ability to distinguish signal from noise
• Fluency with AI tools for building LLM-based content classification pipelines
• Strong communication skills to turn analysis into clear narratives for editors and leadership
• Curious, fast learner with ability to grasp distressed-market concepts; data storytelling experience beneficial
• Finance or distressed-debt knowledge is a plus (not essential)
• Bonus: Python for deeper analysis
• Bonus: content, web, SEO, social or audience/growth analytics

• strong communication
• curiosity and fast learning
• ability to translate analysis into editorial decisions
• SQL
• dbt
• BigQuery or Snowflake

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