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São Paulo-based position requires strong analytical skills and attention to detail. As a product analyst, you will play a key role in supporting day-to-day operations, contributing to feature development, process improvement, and delivery of valuable insights to clients and internal stakeholders.
About the RoleWork closely with product specialists, associate product managers, and other team members across product and operations to ensure quality, organization, and fluidity of data flows and team outputs.
Support product delivery: execute tasks related to the development and maintenance of NPS Prism instruments (e.g., monitor surveys, check data flows, perform initial ad-hoc analysis, review dashboards and analytical models).
Prepare and validate data: support the collection, organization, quality control, and integration of data from vendors and other external sources.
Generate analyses and insights: perform basic descriptive analyses and assist in producing client-facing dashboards and visualizations.
Execute operational processes: help organize and perform recurring tasks (e.g., data updates, quality checks, calculation audits) to ensure efficiency and zero-defect outputs.
Maintain documentation and version control: contribute to the recording of processes, workflows, and final outputs, ensuring traceability and consistency.
Cross-functional collaboration: engage with adjacent teams such as operations and commercial to understand needs, clarify data issues, and support initiatives.
Drive continuous improvement: support the identification of opportunities for process automation, quality enhancements, and efficiency gains.
We're looking for individuals with:
A bachelor's degree in business, economics, engineering, statistics, data science, social sciences, or related fields.
Minimum 1 year of relevant work experience with customer insights, primary market research, and/or data visualization and data analytics.
Strong analytical reasoning and attention to detail.
Knowledge of Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
Fluency in English.
Strong organizational skills and ability to prioritize in a dynamic environment.
Proactive, curious, and eager to learn in a fast-paced setting.
Preferred qualifications include:
Previous work experience (internship, trainee, or full-time) in product, analytics, BI, or market research roles.
Ability to work with large datasets.
Familiarity with data preparation, analysis, and processing tools such as Alteryx, Python, or R.
Familiarity with survey design, programming, and fielding processes.
Basic knowledge of Agile methodologies (Scrum, Kanban).
Interest in customer journeys, CX, and metrics like NPS.