Senior Marketing Data Analyst (to Lisbon, Portugal)

PT·Lisbonsenior

OtherMarketing Data Analyst

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Quick Summary

Overview

JoomPro is the first and only end-to-end cross-border B2B marketplace. It serves small, medium, and large businesses, handling orders of any size from start to finish. Today,

Technical Tools

OtherMarketing Data Analyst

Our analytics team helps the business make smarter, data-driven decisions. We focus on:

Optimizing marketing budgets and channel mix to maximize efficiency
Building dashboards and analytical tools for decision-making, ROI forecasting, and strategic planning
Designing and analyzing experiments to measure channel performance and incrementality
Developing alerting systems to monitor spend, efficiency changes, and data quality
Supporting budget planning, marketing strategy, and market research

What We Offer

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✓Real business impact: your work directly influences ROI and growth

✓Access to advanced AI tools (Cursor, ChatGPT, Gemini, Claude)

✓Strong analyst community & cross-team knowledge sharing

✓Matrix structure: your manager is also an analyst

✓Transparent growth path & structured onboarding

✓Open culture with minimal bureaucracy

✓Compensation package: base salary and performance-based bonuses

✓Relocation support: full assistance for a smooth relocation for the employees and their family to Lisbon, Portugal

✓Office-first: flexible hours with a possibility to work remotely 52 days per year

✓Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave

✓AI-first approach: licenses and access to a wide range of AI tools

✓Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses

✓Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work

Responsibilities

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→Evaluate the effectiveness of existing and new advertising channels (Google Ads, Meta Ads, etc)
→Set up and improve monitoring of statistical anomalies in metrics
→Improve long‑term payback prediction models
→Generate hypotheses to improve acquisition/product feeds/ad creatives/channel split/targets, etc.
→Conduct data studies to uncover insights
→Write ETL pipelines (data marts, alerts, and predictions)
→Ask “why” and “what problem are we solving”

Requirements

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Experience in data analysis, experience in marketing analytics
Understanding of marketing KPIs, attribution models, and the problems ad platforms solve
Knowledge of mathematical statistics and experience applying it
Ability to write complex SQL queries
Data analysis skills in Python
Ability to choose the right evaluation approach — analytics, research, or use of external data
Ability to solve non‑trivial problems under incomplete data
Attention to detail and ability to see any task through to completion
Good english verbal and written communication skills (B2+)