Data Analyst at JoomPulse

Joom; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading company in the e-commerce sector is seeking a Senior Analyst to support data-driven insights and improve data quality metrics. The role involves developing models and production-level code, along with user behavior analysis and identifying growth opportunities within a dynamic international team.

Serviços

Performance-based bonuses

Flexible hours with remote work options

Extended health insurance

Transportation and meal allowance

Opportunities for professional training

Annual team building activities

Qualificações

• 3+ years of experience in data analysis.
• Strong programming skills in Python (Pandas, Numpy).
• Ability to write complex SQL queries.

Responsabilidades

• Design and improve data quality metrics.
• Conduct user behavior analysis.
• Develop data-driven insights for customers.

Conhecimentos

Data Analysis

Mathematical Statistics

Python

SQL

Attention to Detail

Descrição da oferta de emprego

JoomPulse is a data platform that provides analytics and recommendations for marketplace sellers. Its features allow you to review the most profitable products, know the estimated profit of buying directly from the supplier, discover the categories with the greatest growth potential and explore profitable ways to expand your business. JoomPulse helps make e-commerce data easy to understand and efficient for all sellers.

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 platform for shopping from all over the world; JoomPro, the first end-to-end cross-border B2B marketplace, with successful operations in Brazil and plans to expand to other markets; 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 Analyst who is able to:

• Design, improve and sustain data quality metrics
• Support product's needs in defining and delivering data based insights for the customers
• Proactively investigate and react to discrepancies in data
• Time-Series forecasting

All results will be implemented directly into the product, so this role involves both developing models/metrics and heuristics and deploying them into production. The position involves not only data analysis, developing hypotheses, and models, but also writing production-level code.

Responsibilities

• Data storage and requesting data from the development team
• User behavior analysis
• Identifying growth opportunities for the product
• Ad hoc research
• Generating product hypotheses
• Product analysis and sales forecasting, including identifying seasonality and trends
• Developing the system of metrics for internal usage
• Developing data driven insights for the customers

Requirements

• 3+ years of experience in data analysis
• Knowledge of mathematical statistics and practical experience applying it
• Strong programming skills in Python (Pandas, Numpy)
• Ability to write complex SQL queries
• 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

• Experience in marketplace analytics and deep understanding of marketplaces base metrics and ranking algorithms
  
• Presenting results and data visualization
• Industry experience in Machine Learning: understanding of core modeling and training approaches, ML development experience (raw data analysis, hypothesis formulation, model creation, experimentation, and deployment into production)

We offer

• 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 for the employees, their spouses, and children (including dental care), transportation and daily meal allowance, and 100% paid sick leave
• 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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