Marketing Data Analyst (part-time)
Dripify · Kyiv, UA ·
- Employment
- Part time
- Category
- Data analytics
- Experience
- 3+ years
Dripify · Kyiv, UA ·
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 🎉