Senior Product Analyst at JoomPulse

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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