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 (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 🎉