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Salary
$36k – $84k per year (Estimated)
Location
Remote (Portugal)
Employment
Full-Time
Overview
Company
Impact
Profile match

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, JoomPro operates in Brazil and Mexico, with plans to expand into other markets.

JoomPro is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom Group also includes other businesses: Joom, a global cross-border marketplace; JoomPulse, an AI analytics tool for Mercado Livre and Shopee sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Portugal, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.

We're now looking for an experienced Marketing Data Analyst to strengthen our analytics team and help turn data into insights that drive smarter decisions, improve channel performance, and optimize marketing investments.

About the team

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

Why join us

  • 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

Responsibilities

  • 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

  • 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+)

Preferred

  • Experience running A/B, geo, and other types of experiments
  • Experience in econometrics

Benefits

  • 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

Before applying for the above position please review our Candidate Privacy Notice here. By responding to the vacancy, you acknowledge that you have read our Privacy notice.

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