Senior Marketing Data Analyst in marketing

Описание: 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. Задачи: 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. Требования: 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. Условия: 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.