Phiture
Overview
Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world.
Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.
About the Joom Marketing Team Our marketing 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 new advertising channels
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”
Qualifications
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
We offer
Fully remote or hybrid format (Lisbon office)
Contract-based collaboration (full-time)
Transparent growth framework: we define growth expectations together and set goals that align with them
Before applying for the above position please review our Candidate Privacy Notice here: https://legal.joom.com/recruit. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
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Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.
About the Joom Marketing Team Our marketing 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 new advertising channels
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”
Qualifications
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
We offer
Fully remote or hybrid format (Lisbon office)
Contract-based collaboration (full-time)
Transparent growth framework: we define growth expectations together and set goals that align with them
Before applying for the above position please review our Candidate Privacy Notice here: https://legal.joom.com/recruit. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
#J-18808-Ljbffr