16 hours ago
Reach out directly about this role
Grade
Middle
Experience
from 3 years
Work Format
Onsite
AI writes it from your resume. You only have to send it.
**We are looking for a Senior/Middle Marketing Analyst to join our team (Cyprus, Limassol)!
Our client is a new-generation international broker actively developing in the markets of Latin America, the Middle East, and South Africa.
Responsibilities:
✔Reporting on User Acquisition efficiency: analysis of expenses, CPA, ROAS, funnel from click to FTD broken down by channels, campaigns, geographies, and partners. ✔Reconciliation of data between ad accounts, AppsFlyer, and the corporate data warehouse, identification and investigation of discrepancies. ✔Responsibility for setting up attribution and conversion postbacks in Facebook and Google ad accounts. ✔Affiliate and partner traffic analytics, monitoring of source quality, and identification of problematic platforms. ✔Defining data collection requirements: what fields and events need to be collected and from which sources. ✔Investigating tracking issues: event loss, incorrect attribution, data duplication, expense anomalies. ✔Regular interaction with the UA team: explaining the current dynamics of indicators, reasons for changes, and their impact on business metrics.
Requirements:
✔3+ years of experience in marketing or product analytics with a focus on User Acquisition. ✔Proficient SQL: aggregations, window functions, independent work with raw data. ✔Experience with MMPs (AppsFlyer, Adjust, Branch): attribution, postbacks, deeplinks, understanding the differences between web and in-app tracking. ✔Understanding of attribution models and their limitations, ability to explain discrepancies between ad account data and internal company data. ✔Hands-on experience with Facebook and Google Ads at the data level: campaign structure, data exports, working with APIs. ✔Experience analyzing User Acquisition unit economics: CPA, ROAS, cohort payback. ✔Experience with BI tools: Power BI, Metabase, Tableau, or equivalents. ✔Ability to independently find the root cause of data discrepancies, not just fix and forward problem information.
Will be a plus:
Experience in fintech, trading, iGaming, or other verticals with high CPA. Python for data processing and working with ad platform APIs. Experience with affiliate traffic and anti-fraud systems. Experience with web analytics: GA4, GTM, server-side tracking.