We are looking for a Marketing Data Analyst who will build Dripify’s marketing attribution and reporting. You will be the architect of how we understand marketing performance commercially: which channels drive revenue, which content converts to paid customers, and where our acquisition spend is actually working.Once the foundation is solid, the scope grows — this engagement starts fractional and is designed to evolve into a full-time role.
Requirements: * 3+ years as a marketing or data analyst; * Familiarity with the modern data stack:warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt); * Proven ability to build a marketing attribution model from the ground up — you’ve connected multi-touch data to actual revenue outcomes before; * Experience building a BI/visualization layer from raw data (Looker Studio, Tableau, or similar); * Solid grasp of B2B SaaS funnel mechanics: trial-to-paid conversion, CAC, LTV, MRR attribution; * You understand what the numbers mean commercially, not just technically.
Nice to have: * Experience connecting content performance to revenue — article or page-level attribution, mapping organic content consumption to downstream paid conversions; * Experience with affiliate tracking platforms (Impact, PartnerStack, etc.); * Еxperience with GA4.
Responsibilities: * Audit the current GA4 and BigQuery setup: identify tracking gaps, attribution gaps, and data quality issues; * Design and document the event taxonomy, tracking plan, and naming conventions aligned to real business questions; * Implement a cross-channel attribution model that connects marketing touchpoints (organic, paid, affiliate, content, email) to trial starts and paid conversions; * Implement and document the full data model; * Design and build dashboards that give a clear, consistent view of marketing performance; * Build channel-level performance views for organic, PPC, affiliates, content, and email, each showing contribution to pipeline and paid revenue, not just traffic; * Build a content performance dashboard with article-level data including visits, trial starts, and MRR contribution; * Build a top-of-funnel to revenue waterfall: traffic → trial → paid conversion by source; * Deliver regular reporting: weekly channel snapshots and monthly marketing performance reviews; * Conduct campaign and experiment analysis to measure the impact of launches, tests, and budget changes; * Generate proactive insights: flag anomalies, identify growth opportunities, and support quarterly OKR tracking.
Hiring process:
✅ Interview with Talent Acquisition Specialist — ✅ Final Interview with CMO & Engineering Manager — ✅ Reference Check — ✅ Offer
