Product Data Analyst

Posted:
5/10/2026, 4:28:25 PM

Location(s):
Vilnius, Vilnius County, Lithuania ⋅ Vilnius County, Lithuania

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
Hybrid

Working at Omnisend is... kind of boring. Not the soul-crushing kind of boring — more like the “no drama, no chaos, just smart people doing great work” kind. The kind that lets you focus on what matters, without pointless meetings, micromanagement, or bureaucracy. We’re data-driven. We test, we iterate, we improve. Gut feelings don’t drive decisions — insights do. We trust each other. We’re transparent, give real feedback, and actually listen. No egos, no hand-holding — just a team of experienced professionals moving fast, adapting easily, and delivering impact. Omnisend is customer-funded and customer-driven. Our work is rooted in solving real problems that help ecommerce brands grow. No empty promises — we bring in results. And yes, we have fun. But the grown-up kind — workations, team gatherings, the occasional party. No forced fun, no awkward icebreakers. Just genuine moments with a team that actually enjoys working together.
 

We are looking for a Product Data Analyst to join our Data Ops team. In this position, you will collaborate closely with product teams. You will look for the biggest business opportunities, explain user behavior, raise and test hypotheses, use advanced statistical methods and predictive models, forecast future trends, and perform deep-dive analysis. You will not work on small ad-hoc data requests, we expect that our data driven product managers will take care of this, while you will be taking care of the advanced statistics. We are looking for an independent and experienced professional who would contribute to a data driven approach in the company. Interpreting data and deducting actionable insights should be your main competence, with a rich record of successful high-impact projects over your career.

Some tools we use: BigQuery, Superset, dbt, Hightouch, Mixpanel, Dagster, Python and Airbyte.