Senior Marketing Data Analyst

This is a fully remote position, open to applicants in United Kingdom, +3 more states.

📋 Description

• Manage the analytical partnership between the Data Team and the Marketing department.

• Develop and sustain essential marketing dashboards, reports, and models.

• Evaluate visitor-to-trial-to-paid funnels, analyze nurture performance, lifecycle advancement, and leading indicators.

• Measure channel and campaign effectiveness, including expenditure, Customer Acquisition Cost (CAC), payback periods, pipeline contributions, and retained revenue.

• Redesign and uphold marketing attribution while reconciling platform-reported metrics with warehouse data.

• Create and assess marketing experiments, covering landing pages, nurture sequences, pricing strategies, and messaging packaging.

• Identify issues with tracking implementations, cookie and local-storage management, and referrer behavior.

• Oversee event taxonomy, Google Tag Manager container, UTM naming conventions, tracking quality assurance, dataLayer specifications, and server-side tracking requirements.

• Manage HubSpot marketing property schema and define the Marketing KPI and Metrics Glossary.

• Establish workflows between Data and Marketing, including intake procedures, Service Level Agreements (SLAs), escalation routes, and expectations for data freshness.

• Create self-service dashboards and automated reports using Lightdash, Amplitude, and GA4.

• Leverage LLM-assisted tools and AI coding agents for data exploration, query creation, insight synthesis, and documentation.

• Identify data quality issues, engage in triage and agile planning, conduct code reviews, provide technical guidance to junior analysts, and assist in establishing analytics standards.

⛳️ Requirements

• A minimum of 4 years of direct experience in a data analyst role, with substantial involvement in marketing, growth, or go-to-market funnel analysis for senior stakeholders.

• Comprehensive ownership of a marketing measurement ecosystem, including attribution modeling, event taxonomy, UTM governance, and platform-to-warehouse reconciliation.

• Capability to troubleshoot existing tracking implementations, including tracking codes, cookies, local storage, and referrer management.

• Proven experience utilizing AI coding agents and LLM-assisted tools as a fundamental part of the analytical process.

• Strong proficiency in SQL.

• Competence in Python for data manipulation, automation, and analysis, with experience in production-quality coding.

• Practical experience with GA4, Google Tag Manager, a CRM (HubSpot is highly preferred), and reporting on paid channels.

• Familiarity with contemporary Business Intelligence and product analytics tools such as Lightdash, Looker, or Amplitude.

• Experience integrating CRM, product, finance, and marketing data.

• Ability to effectively communicate insights to senior non-technical audiences through written reports, verbal presentations, and visualizations.

• Experience in metric governance, definitions, ownership, and resolving discrepancies in metrics.

• Ability to define ambiguous questions, articulate assumptions, and deliver meaningful analyses even when complete data is not available.

• Experience in SaaS or B2B environments, subscription metrics, product-led trial funnels, dbt, server-side tracking, incrementality testing, embedded analytics, LLM application patterns, or mentoring are considered advantageous.

🏝️ Benefits

• Health & Wellbeing Benefit Stipend.

• Home Office Setup - one-off £500 reimbursement after probation.

• 26 days of paid time off.

• An extra day off for your birthday.

• Financial reward for service-years recognition.

• Regular reviews of compensation based on performance.

• Opportunity to be part of a growing international business with over 20,000 subscribers.