Marketing Data Analyst (part-time)

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 (Big. Query/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, Partner. Stack, etc.); Еxperience with GA4.

Responsibilities

Audit the current GA4 and Big. Query 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 🎉