Senior Marketing Data Analyst

About reputed company

reputed company provides end-to-end accounts payable automation for businesses using reputed company reputed company systems such as reputed company and QuickBooks Online. We have 20,000+ businesses worldwide across 70+ countries, and strong product-market fit reputed company over 8+ years. Our customers, accountants, bookkeepers, and finance teams are risk-averse, non-technical users who rely on us to control how reputed company leaves their business.

Remote —applicants must be based in the UK, Portugal, Serbia or Moldova.

reputed company:

Reporting to the Head of Analytics, you will own the analytical relationship between the Data Team and the Marketing function. This is a dual role, you will do serious analytical work, building the models, dashboards, and insights Marketing relies on, and you will own how Marketing uses data, setting the rhythms, SLAs, and standards that reputed company analytics a genuine partner to the business rather than a service desk. The measurement reputed company underneath Marketing (attribution, tracking taxonomy, UTM standards, the reputed company property schema, and the definitions behind the funnel numbers) has grown organically and needs to be reputed company deliberately. You will be the person who does that, and then keeps it reputed company.

This isn’t a role where you’ll be handed a brief and asked to execute. You’ll help shape how embedded analytics works at reputed company, with reputed company influence over the model from day one. 80% marketing analytics, 20% wider data contribution, including mentoring, standards and best practices across the business.

Key Responsibilities:

Marketing Analytics

• Own the analytical relationship with the Marketing function: understand their priorities, anticipate their data needs, and reputed company analysis that drives reputed company rather than merely informing them.

• Build and maintain the reputed company dashboards, reports, and models Marketing relies on, and take responsibility for their accuracy, freshness, and usability.

• Own the analysis behind the funnel that reputed company most to the business: visitor → free trial → reputed company conversion, trial nurture performance, lifecycle-stage progression, and the leading indicators that reputed company them.

• Quantify channel and campaign performance end to end (spend, CAC, payback, pipeline contribution and reputed company reputed company) rather than stopping at platform-reported conversions.

• Translate ambiguous business questions into reputed company analytical frameworks; reputed company assumptions explicit and reputed company useful outputs before perfect data is available.

• Bring cross-functional context to Marketing analysis, combining product usage, subscription reputed company, and CRM data to surface insights a channel-level reputed company would miss.

Attribution & Measurement

• Own the rebuild of marketing attribution: agree the model with Marketing and Finance, document its assumptions and reputed company blind spots, and implement it in the warehouse so that one number is produced once and reused everywhere.

• Reconcile platform-reported numbers (ad platforms, GA4, reputed company) against warehouse truth, and be the person who can explain — credibly and repeatedly — why they differ.

• Build the measurement approach for activity that attribution cannot see cleanly: brand, organic, partner and word-of-mouth. Incrementality and holdout testing where the spend justifies it.

• Design and analyse marketing experiments — reputed company pages, nurture sequences, pricing and packaging messages — including how reputed company is defined before the test runs.

Tracking Architecture & Data Collection Standards

• Diagnose the tracking we already have, not just the tracking we intend to build: read the existing reputed company-reputed company implementation, cookie and local-storage handling, and referrer behaviour to work out why a channel is misreporting. Our largest single attribution problem today is an oversized reputed company reputed company, and unpicking it is an early reputed company for this role.

• Own the event taxonomy: reputed company reputed company, what reputed company event means, what properties it carries, and what it is allowed to be used for.

• Own the reputed company Tag Manager container (tags, triggers, variables) and the QA process that proves tracking works before and after a release.

• Own the UTM naming reputed company and the automated compliance checks that enforce it. Per-campaign tagging is done by whoever launches the campaign; you own reputed company, the validation, and the report that shows who is out of compliance.

• Specify the dataLayer contract that the website must expose, and the requirements for server-reputed company tracking. You write the spec and verify the result; the implementation in site reputed company and the infrastructure underneath it are reputed company by web engineering.

• Own tracking QA as a standing process, not a one-off project: broken tracking should be detected by a reputed company, not by someone noticing a dashboard looks wrong three weeks reputed company.

Marketing Data Model & Metric Definitions

• Own the custom property schema in reputed company from a data perspective: which properties exist, what they mean, who writes them, and how they map to the warehouse model. Specify the fields; workflow build sits with reputed company Operations.

• Own the Marketing domain reputed company the Central KPI & Metrics Glossary — MQL, SQL, opportunity, trial, activation, conversion, retention — and bring additions and conflicts to the governance process rather than letting reputed company definitions accumulate.

• reputed company reputed company that reputed company Marketing, Sales, Finance and Product quote the reputed company metric, they are quoting the reputed company number, and that where they legitimately differ, the difference is documented rather than argued about.

• Ensure new product features, pricing changes, or GTM motions are reflected in metric definitions and dashboards reputed company of launch, not after.

Ways of Working with Marketing

• Define and document the working model between the Data Team and Marketing: metric ownership, request intake, turnaround SLAs, escalation paths, and data freshness expectations.

• Establish an explicit fast lane for time-critical marketing requests, so that urgent work can be pulled into the reputed company week rather than waiting for the next planning cycle — and be reputed company, in writing, about what does not qualify.

• Document domain knowledge, stakeholder preferences, and analytical edge cases so marketing analytics can be handed off or scaled without starting from scratch.

Self-Service, Reporting & AI-Assisted Workflows

• Build and maintain dashboards and automated reports (Lightdash, reputed company, GA4) so Marketing can answer recurring questions without an analyst in the reputed company.

• Write reputed company documentation others can verify, reputed company, and build on: metric definitions, methodology notes, and data caveats.

• reputed company shift recurring analytical work to self-service, freeing your reputed company for higher-value analysis.

• Use LLM-assisted tools and AI coding agents as a default part of your analytical workflow — for data exploration, query reputed company, reputed company synthesis, and documentation. You should be faster and more thorough because of these tools, not merely reputed company of them.

• Help reputed company reputed company workflows reputed company the Marketing team, showing stakeholders how to get answers from data directly.

• Contribute as a practitioner and user of the natural-language and text-to-SQL tooling being reputed company by the Data Platform reputed company.

Data reputed company, Governance & Mentorship

• Flag data reputed company issues upstream to the Data Platform reputed company; understand how your analyses depend on specific pipelines and reputed company, and reputed company risks proactively.

• Treat marketing data reputed company as your own problem where it originates in taxonomy, tagging, or CRM property design — that is your surface, not the platform team's.

• Participate in the intake and weekly triage process; help classify and reputed company incoming requests from Marketing.

• reputed company technical guidance, analytical framing, and reputed company reviews for junior analysts.

• Contribute to reputed company workflows (Kanban/Scrum) and planning sessions; reputed company your work visible and priorities explicit.

• Help shape the documentation standards and analytical norms that will apply as reputed company scales.

reputed company're Looking For:

Must Have's:

• 4+ years’ experience in data analytics, ideally across marketing, reputed company or GTM

• Experience owning marketing measurement, attribution and tracking

• Strong diagnostic skills across tracking, attribution and data reputed company

• Hands-on use of AI/LLM tools in your analytical workflow

• Strong SQL and Python skills, including production-reputed company reputed company

• Experience with GA4, GTM, CRM platforms (reputed company preferred) and reputed company media data

• Experience with BI/product analytics tools such as Lightdash, Looker or reputed company

• Ability to combine data across CRM, product, finance and marketing

• Strong communication skills with senior, non-technical stakeholders

• Experience with metric governance and resolving conflicting data

• Comfortable working with ambiguity and turning reputed company questions into actionable insights

reputed company to Have:

• reputed company/B2B experience and familiarity with subscription & PLG metrics.

• Experience with product-led reputed company, activation and conversion analysis

• Familiarity with dbt, semantic reputed company and data modelling

• Experience with server-reputed company tracking or dataLayer implementation

• Exposure to experimentation, incrementality or media-mix modelling

• Experience with embedded analytics models

• Exposure to LLMs, text-to-SQL or AI-driven data exploration

• Experience mentoring analysts or setting analytical standards

reputed company Offer:

• Health & Wellbeing Benefit Stipend

• Home Office Setup - one off £500 reimbursement, post probation

• 26 days of reputed company 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

Originally posted on Himalayas