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Senior Product Analyst at JoomPulse
Posted by Joom on 10 September 2026, 34 days ago. Still on their Workable board when we checked 26 min ago.
What the posting is about
Analyze data to drive product growth, improve data quality, and create market analysis. Influence team decisions with data insights. Experience with SQL, BigQuery, and Python required.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationSão Paulo, Brazil
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-10
Found viaworkable, direct from their system
We saw it 1 month after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience: Mid-Senior level
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
Benefits
Compensation package: base salary and performance-based bonuses, CLT employment
Office-first: flexible hours with a possibility to work remotely 52 days per year, and 30 days of paid annual leave
Care & Wellbeing: extended health insurance OMINT Saúde for the employees, their spouses, and children (including dental care), transportation and 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
Before applying for the above position please review our Candidate Privacy Notice here: https://legal.joom.com/recruitment/JoomPro_Brazil_Job_Applicant_Privacy_Notice.pdf By responding to the vacancy, you acknowledge that you have read our Privacy notice.
Also open at Joom
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