Senior Product Analyst at JoomPulse

JGT 3

Lisboa

Híbrido

EUR 60 000 - 70 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Flexible hours
Remote work up to 52 days/year
Health insurance including dental for
Daily meal allowance
Paid sick leave

Resumo da oferta

JoomPulse, a product analytics platform under Joom Group, seeks a Senior Product Analyst to transform data into actionable insights and measurable product growth. You will lead product research, analyze user behavior, and drive data-driven decisions across teams.

This role offers a hybrid setup with collaboration across Portugal, Brazil, Latvia and China. The ideal candidate has 5+ years in data analysis, strong SQL, and expertise in product analytics, dashboards, and statistical methods to

Qualificações

  • 5+ years of experience in data analysis.
  • Ability to write complex SQL queries (joins, window functions, CTEs).
  • Product-analytics depth (retention, cohort analysis, funnels, ARPU/LTV, engagement).
  • Knowledge of mathematical statistics and practical application.
  • Hands-on with a cloud warehouse (BigQuery or equivalent).
  • BI and data storytelling (dashboards in Metabase/Looker Studio or equivalent).
  • Skill in selecting appropriate data evaluation methods: analytics or research.
  • Ability to tackle complex problems with incomplete data.
  • Attention to detail and end-to-end execution.

Responsabilidades

  • Transform imperfect data into clear, actionable insights that drive decisions.
  • Conduct product research to identify growth opportunities and form hypotheses.
  • Analyze user behavior patterns to uncover meaningful product insights.
  • Influence goal setting and project prioritization using data.
  • Develop self-service capabilities and automate routine analyses.
  • Identify growth opportunities, including seasonality and trends.

Conhecimentos

SQL proficiency
Product analytics
Statistical methods
BI storytelling
Data visualization
Data modeling

Ferramentas

BigQuery
Metabase
Looker Studio
PySpark

Descrição da oferta de emprego

JoomPulse is an AI analytics tool for Mercado Livre and Shopee sellers, providing insights into the most profitable products and fastest-growing categories — helping sellers boost their profits with data-driven decisions.

JoomPulse is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies that was founded in 2016 in Latvia. Joom Group also includes the following businesses: Joom, a global cross-border marketplace; JoomPro, the first and only end-to-end cross-border B2B marketplace; 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.

Currently, We Are Looking For An Senior Product Analyst. The JoomPulse Product Analyst Owns The Three Things That Decide Whether The Product Grows

  • The quality of the data on the platform
  • The product analytics that tell us whether new features and new data actually move conversion and retention
  • The market analysis that turns our marketplace data into insight for large corporate data clients and for the press

This person makes sure we can trust our own data, makes sure every significant feature and data release is measured against its real effect on conversion and retention, and packages our marketplace data into external-facing market analysis (category trends, pricing, market dynamics) that lands with corporate clients and journalists.

Responsibilities
  • Transform imperfect data into clear, actionable insights that drive decisions
  • Conduct product research (identify growth opportunities, answer high-level questions, and formulate hypotheses for the team)
  • Analyze user behavior patterns and independently uncover insights that are meaningful for the product
  • Influence goal setting and project prioritization within the team based on data
  • Develop self-service capabilities in the domain (structure data to make it easily usable by AI tools, and automate routine analysis so the team can independently answer basic questions)
  • Identifying growth opportunities for the product, analysis and sales forecasting, including identifying seasonality and trends
Requirements
  • 5+ years of experience in data analysis
  • Ability to write complex SQL queries (complex joins, window functions, CTEs, query optimization)
  • Product-analytics depth (retention (paid & usage), cohort analysis, funnels, activation, ARPU/LTV, engagement)
  • Knowledge of mathematical statistics and practical experience applying it
  • Hands-on with a cloud warehouse (BigQuery or equivalent)
  • BI and data storytelling (builds and maintains dashboards (Metabase / Looker Studio or equivalent))
  • Skill in selecting appropriate data evaluation methods: analytics, research, or using external data
  • Ability to tackle complex problems in situations with incomplete data
  • Attention to detail and ability to see tasks through to completion
Preferred
  • Built a data-quality or data-observability system from scratch and owned it
  • Owned product analytics on a data / analytics product specifically
  • Python (pandas / numpy) for analysis and automation and PySpark / big-data processing for the more technical work
  • B2B SaaS experience
  • Experience in marketplace analytics and deep understanding of marketplaces base metrics and ranking algorithms
We offer
  • Compensation package: base salary and performance-based bonuses
  • Office-first: flexible hours with a possibility to work remotely 52 days per year, and 22 days of paid annual leave
  • 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 courses
  • Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work
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