• Design, build, and own the end-to-end GTM data model, including lifecycle stages, funnel metrics, attribution logic, forecasting signals, scoring inputs, and cross-sell indicators. • Create and maintain a semantic layer that ensures consistent, trusted reporting across all GTM teams. • Define GTM metrics, data standards, and analytical logic that unify Sales, Marketing, Customer Success, Partnerships, and Product GTM data. • Partner with business and GTM leadership to translate strategic questions into scalable analytical models. • Build and maintain BI dashboards and analyses (e.g., pipeline, conversion, campaign performance, onboarding, and cross-sell). • Provide data logic that powers routing, scoring, enrichment, lifecycle automation, and GTM workflows. • Partner closely with Systems and Operations teams to ensure workflows run on clean, validated, and battle-tested data models. • Establish data validation, QA processes, and monitoring to maintain high data quality across systems. • Document data models, definitions, and logic to ensure clarity, consistency, and usability across stakeholders.

• Build and maintain the Regulatory Data Mart • Enable compliance stakeholders to self-serve regulatory data needs • Build AI-driven workflows for regulatory reporting • Ensure compliance with regulatory reporting SLAs

• Building Data Models: Create complex dbt models, custom macros, and reusable packages. Optimise transformations and implement robust testing strategies to ensure data integrity and model performance. • Ownership: Monitoring and maintaining dbt workflow jobs, ensuring smooth data refreshes and up-to-date pipelines. You will also be responsible for data models for BI analytics & company level reporting. • Ensuring Data Accuracy: Writing tests and assertions to validate data integrity and consistency across models. • Documenting and Standardizing: Creating and maintaining thorough documentation of dbt processes to ensure best practices within the BI team. • Translating Complex Data Concepts: Acting as a key communicator, translating technical data issues into understandable business terms for stakeholders. • Mentoring Team Members: Supporting junior analysts and data engineers, especially in setting up experimentation platforms and data best practices. • Collaborating Across Teams: Working closely with the product, engineering, and BI teams to ensure data infrastructure supports evolving business needs.

Role Description This is an exciting time to join Remote and make a personal difference in the global employment space as Senior Analyst, Marketing Analytics. As a senior member of our Revenue Operations team, you won't just be crunching numbers; you will be the strategic engine behind our growth. We are looking for a highly motivated expert to be the primary partner to the Senior Manager of Planning and Analytics and the broader Marketing organization. You will take the lead on high-impact projects, moving beyond simple reporting to shape our global marketing strategy. From perfecting our attribution logic to quantifying the impact of brand awareness, your insights will directly dictate where we invest our next dollar. Qualifications - Extensive experience in marketing analytics, specifically within B2B SaaS or high-growth enterprise environments. - Proven track record of designing and driving attribution modeling (Multi-touch) for Marketing and other Top-of-the-Funnel (TOFU) streams. - Deep understanding of non-paid focus areas; experience building reporting for organic growth, brand health, and Share of Voice (SoV). - Experienced and confident in operating across the full technical stack from Snowflake to Dbt and BI tools. - Experience navigating CRM and automation systems (Salesforce, HubSpot) and modern BI tools (Sigma, Tableau, or Looker). - The ability to command a room of executives, translating complex data structures into a clear narrative. - Professional fluency in written and spoken English. - Demonstrates strong automation and AI capabilities. - It's not required to have experience working remotely, but considered a plus. Requirements - Lead the development and refinement of attribution models that capture the value of Marketing and various TOFU streams, ensuring a holistic view of the customer journey. - Establish the framework for measuring all marketing channels. Build robust reporting for Share of Voice, organic reach, and brand sentiment to balance our performance marketing focus. - Drive the annual and quarterly planning process for marketing investments, providing data-backed recommendations on budget allocation. - Build and maintain projected Lifetime Value (LTV) models to guide acquisition and retention strategies, ensuring high-quality signals are fed back into ad platforms. - Analyse the B2B funnel from initial awareness to closed-won revenue, identifying friction points and white-space opportunities for the growth team. - Act as the guardian of marketing data. Partner with RevOps to ensure data flowing from HubSpot and Salesforce remains the "single source of truth." - While this role may not have initial direct reports, you will act as a technical lead, mentoring senior analysts and setting the standard for analytical excellence across the team. Benefits - Work from anywhere - Flexible paid time off - Flexible working hours (we are async) - 16 weeks paid parental leave - Mental health support services - Stock options - Learning budget - Home office budget & IT equipment - Budget for local in-person social events or co-working spaces