Senior Marketing Data Analyst

A leading international fintech innovator with over 20 years of stability and trust. Founded in 2006, the company strives to provide secure, efficient, and accessible trading solutions in the global FX and online trading market.

We operate as a truly distributed team with a remote-first approach, uniting specialists from different time zones under a common culture of autonomy and shared goals. We are currently seeking proactive specialists to work in a cross-functional environment. Here you will have the opportunity to influence results, take responsibility, and work in a stable company where your contribution is valued.

We have a flat structure where professionals are trusted to shape the future of global trading.

About the Role

In this role, you will join the Data & Analytics team – a commercially-oriented team with an analytical approach, responsible for transforming raw data into understandable signals for business growth. Your mission is to become the analytical bridge between marketing and Data Engineering, defining how performance is measured across complex user journeys (web and mobile). You will work closely with a Senior Data Engineer and utilize the modern GCP stack (BigQuery, dbt) to: ↗️ analyze marketing performance ↗️ revise attribution models ↗️ influence budget allocation decisions

The main task is to help the company move from superficial metrics and the last-click model to understanding: 🧨 incremental impact 🧨 LTV 🧨 sustainable growth You will directly influence Weltrade's global scaling strategy.

Requirements

• Advanced SQL: ability to write complex and optimized queries on large data volumes, preferably in cloud storages (BigQuery).
• Marketing Analytics Expertise: practical experience analyzing metrics (CAC, LTV, ROAS, funnel conversion, cohort retention).
• Attribution and User Journey Analysis: experience with multi-touch attribution and raw event data from GA4 and/or mobile tracking systems.
• BI and Business Reporting: experience creating and maintaining dashboards for management (Looker Data Studio and/or Power BI).
• Analytics Engineering Experience: experience with dbt, including creating or maintaining intermediate data models for calculating key marketing metrics.

Bonus Points

• Experience with raw data from Adjust or AppsFlyer.
• Experience working directly with GA4 data export to BigQuery (not just through the GA interface).
• Understanding of A/B testing principles and statistical significance in a business context.

@hannnetwork @annakolpachuk_