Senior Data Analyst – Marketing

Overview

You will be embedded in the marketing and analytics teams to turn funnel data into actionable decisions that drive demand and revenue. You’ll own end-to-end marketing analytics, from instrumentation to insight, shaping spend and prioritisation. Expect to build attribution, measure channel performance, and connect marketing to revenue with robust data models. You’ll work with cross-functional partners and own the semantic layer to enable self-serve insights. This is a high-impact role at a fast-growing fintech scaling its marketing analytics capability.

Pay / Benefits

• Competitive salary
• Equity options
• Private medical insurance
• Pension with 7% employer match
• Paid sick leave and income protection
• Group life assurance and cycle to work schemes? (cycle to work)

Responsibilities

• Own the inbound funnel metrics end-to-end (MQL, SQL, trial, conversion) and align metrics across teams
• Build multi-touch attribution beyond last-touch tracking to identify contributing channels and campaigns
• Measure channel and campaign performance across email, paid media, social, events, and SEO to inform scaling or halting efforts
• Model CAC, conversion, payback and cohort LTV to quantify marketing’s contribution to pipeline and bookings
• Own marketing data models and the semantic layer (dbt models on BigQuery, Omni semantic layer) and migrate from Metabase
• Own instrumentation and lead-data quality (UTMs, Amplitude tracking, lead-scoring alignment, GDPR compliance)
• Own web and SEO analytics and translate insights into actionable recommendations
• Partner with demand gen and RevOps to translate questions into decisions that drive spend and prioritisation

Key requirements

• Senior, hands-on analytics contributor with marketing, growth, demand gen or RevOps experience
• Proven analytics experience in B2B SaaS or fintech
• Expert SQL for complex analysis and reusable datasets
• dbt and a cloud data warehouse (BigQuery, Snowflake) with production models, tests, docs
• Modern BI with semantic layer experience (Omni, Looker, Thoughtspot) and self-serve dashboards
• Deep knowledge of marketing stack (HubSpot/CRM, Salesforce, Google Analytics, Amplitude)
• Attribution and funnel expertise (multi-touch, CAC, conversion, LTV/payback)
• Strong communication skills to translate analysis into leadership-ready narratives
• Strategic problem-solving and metric definition ownership
• Bonus: Python for deeper analysis; paid-media analytics, SEO or marketing experiments

• strong communicator
• strategic thinker
• collaborative
• SQL
• dbt
• BigQuery or Snowflake

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