Senior Marketing Data Analyst

ApprovalMax

Senior Marketing Data Analyst building attribution, tracking, dashboards, and funnel insights for ApprovalMax’s accounts payable automation software. Shaping embedded analytics standards across Marketing and the wider data function.

Posted 8/10/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics, including attribution modeling, funnel analysis, and data reconciliation. Proficient in SQL and Python for data manipulation, with experience in using modern BI tools and AI-assisted analytics.

Highest-signal resume keywords

Marketing Measurement Stack OwnershipAttribution ModelingSQL ProficiencyPython for Data AnalysisGA4 and Google Tag Manager Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Attribution ModelingFunnel AnalysisSQLPythonData ReconciliationMetric GovernanceEvent TaxonomyData Quality AssuranceData ManipulationAnalytics Standards

Soft Skills

Clear CommunicationAnalytical ThinkingProblem-SolvingCollaborationMentoring

Tools & Technologies

GA4Google Tag ManagerHubSpotLightdashAmplitudeLookerAI Coding AgentsLLM-Assisted ToolsData WarehouseServer-Side Tracking

Industry Keywords

SaaSB2BSubscription MetricsProduct-Led Trial FunnelsIncrementality TestingEmbedded Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own the analytical relationship between the Data Team and Marketing function
Build and maintain core marketing dashboards, reports, and models
Analyse visitor-to-trial-to-paid funnels, nurture performance, lifecycle progression, and leading indicators
Quantify channel and campaign performance, including spend, CAC, payback, pipeline contribution, and retained revenue
Rebuild and maintain marketing attribution and reconcile platform-reported numbers with warehouse data
Design and analyse marketing experiments, including landing pages, nurture sequences, pricing, and packaging messages
Diagnose tracking implementations, cookie and local-storage handling, and referrer behaviour
Own event taxonomy, Google Tag Manager container, UTM naming standards, tracking QA, dataLayer specifications, and server-side tracking requirements
Own HubSpot marketing property schema and Marketing KPI and Metrics Glossary definitions
Define working processes between Data and Marketing, including intake, SLAs, escalation paths, and freshness expectations
Build self-service dashboards and automated reports using Lightdash, Amplitude, and GA4
Use LLM-assisted tools and AI coding agents for data exploration, query generation, insight synthesis, and documentation
Flag data quality issues, participate in triage and agile planning, provide code reviews and technical guidance to junior analysts, and help establish analytics standards

Requirements

What you’ll need

4+ years of hands-on experience in a data analyst role, including significant marketing, growth, or GTM funnel analysis for senior stakeholders
End-to-end ownership of a marketing measurement stack, including attribution modelling, event taxonomy, UTM governance, and platform-to-warehouse reconciliation
Ability to diagnose existing tracking implementations, including tracking code, cookies, local storage, and referrer handling
Demonstrated use of AI coding agents and LLM-assisted tools as a core analytical workflow
Strong SQL skills
Proficiency in Python for data manipulation, automation, and analysis, with production-quality coding experience
Hands-on experience with GA4, Google Tag Manager, a CRM (HubSpot strongly preferred), and paid-channel reporting
Experience with modern BI and product analytics tools such as Lightdash, Looker, or Amplitude
Experience combining CRM, product, finance, and marketing data
Ability to communicate findings clearly to senior non-technical audiences through writing, verbal communication, and visualisations
Experience with metric governance, definitions, ownership, and resolving metric conflicts
Ability to scope ambiguous questions, state assumptions, and deliver useful analysis before perfect data exists
Experience in SaaS or B2B, subscription metrics, product-led trial funnels, dbt, server-side tracking, incrementality testing, embedded analytics, LLM application patterns, or mentoring are nice to have

Benefits

Comp & perks

Health & Wellbeing Benefit Stipend
Home Office Setup - one off £500 reimbursement, post probation
26 days of paid time off
1 additional day off for your birthday
Service-years recognition financial reward
Regular performance-based compensation reviews
Growing international business with 20,000+ subscribers