Senior Marketing Data Analyst in marketing

ApprovalMax provides end-to-end accounts payable automation for businesses using cloud accounting systems such as Xero and QuickBooks Online. It serves more than 20,000 businesses across over 70 countries, helping risk-averse finance teams control how money leaves their businesses.

• Own the analytical relationship between the Data Team and Marketing, anticipate data needs, and deliver analysis that drives decisions;
• Build and maintain dashboards, reports, and models, taking responsibility for their accuracy, freshness, and usability;
• Analyze the visitor-to-paid-conversion funnel, trial nurture performance, lifecycle-stage progression, and leading indicators;
• Quantify channel and campaign performance across spend, CAC, payback, pipeline contribution, and retained revenue;
• Translate ambiguous business questions into clear analytical frameworks and deliver useful outputs before perfect data is available;
• Combine product usage, subscription revenue, and CRM data to surface cross-functional insights;
• Rebuild marketing attribution with Marketing and Finance, document assumptions and blind spots, and implement the model in the warehouse;
• Reconcile ad platform, GA4, and HubSpot figures against warehouse data and explain discrepancies;
• Build measurement approaches for brand, organic, partner, and word-of-mouth activity, including incrementality and holdout testing where justified;
• Design and analyze marketing experiments, including landing pages, nurture sequences, pricing, and packaging messages;
• Diagnose client-side tracking, cookie and local-storage handling, and referrer behavior;
• Own the event taxonomy, Google Tag Manager container, tracking QA process, UTM naming standard, and compliance checks;
• Specify the website dataLayer contract and server-side tracking requirements, and verify implementation results;
• Own the HubSpot custom property schema and its mapping to the warehouse model;
• Own the Marketing domain in the Central KPI & Metrics Glossary and resolve conflicting metric definitions;
• Ensure Marketing, Sales, Finance, and Product use consistent metric definitions;
• Update metric definitions and dashboards ahead of product, pricing, and go-to-market changes;
• Define and document the working model between the Data Team and Marketing, including ownership, intake, SLAs, escalation paths, and freshness expectations;
• Establish a fast lane for time-critical marketing requests and document domain knowledge and analytical edge cases;
• Build and maintain Lightdash, Amplitude, and GA4 dashboards and automated reports;
• Write documentation covering metric definitions, methodologies, and data caveats;
• Shift recurring analytical work to self-service;
• Use LLM-assisted tools and AI coding agents for data exploration, query generation, insight synthesis, and documentation;
• Help embed agentic workflows within the Marketing team;
• Contribute to natural-language and text-to-SQL tooling built by the Data Platform Lead;
• Flag upstream data quality issues and proactively raise pipeline and contract risks;
• Address marketing data quality issues originating in taxonomy, tagging, and CRM property design;
• Participate in intake and weekly triage, classifying and scoping Marketing requests;
• Provide technical guidance, analytical framing, and code reviews for junior analysts;
• Contribute to Kanban/Scrum workflows and planning sessions;
• Help shape documentation standards and analytical norms as the team scales.

• 4+ Years of experience in data analytics, ideally across marketing, growth, or GTM;
• Experience owning marketing measurement, attribution, and tracking;
• Strong diagnostic skills across tracking, attribution, and data quality;
• Hands-on use of AI/LLM tools in analytical workflows;
• Strong SQL and Python skills, including production-quality code;
• Experience with GA4, GTM, CRM platforms, preferably HubSpot, and paid media data;
• Experience with BI or product analytics tools such as Lightdash, Looker, or Amplitude;
• Ability to combine CRM, product, finance, and marketing data;
• Strong communication skills with senior, non-technical stakeholders;
• Experience with metric governance and resolving conflicting data;
• Ability to work with ambiguity and turn complex questions into actionable insights;
• Nice to have: SaaS/B2B experience, familiarity with subscription and PLG metrics, product-led growth and activation analysis, dbt, semantic layers, data modelling, server-side tracking, dataLayer implementation, experimentation, incrementality, media-mix modelling, embedded analytics models, LLMs, text-to-SQL, AI-driven data exploration, mentoring analysts, setting analytical standards.

• Health & Wellbeing Benefit Stipend;
• One-off £500 home office setup reimbursement after probation;
• 26 Days of paid time off;
• 1 Additional day off for your birthday;
• Service-years recognition financial reward;
• Regular performance-based compensation reviews;
• Applicants must be based in the UK, Portugal, Serbia, or Moldova.