Product Insight Specialist

Há 5 dias

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro R$70.000 - R$100.000

Our organization seeks a skilled Product Analyst to support the development of features, improve processes, and deliver valuable insights to clients and internal stakeholders through a commercially successful product that serves key industries across various regions.

Key Responsibilities:
  • Support product delivery: execute tasks related to the development and maintenance of NPS Prism instruments
  • 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 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
About You:

Requirements:

  • Bachelor's degree in Business, Economics, Engineering, Statistics, Data Science, Social Sciences or related fields
  • Minimum of 1 year of relevant work experience in product management, customer insights, primary market research, data visualization or analytics, and/or business consulting
  • Strong analytical reasoning and attention to detail
  • Knowledge of data analysis tools such as Excel and/or SQL
  • Proficiency in Microsoft Office package
  • 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:

  • 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
  • Knowledge of data visualization tools (e.g., Tableau, Power BI)
  • Familiarity with survey design, programming, and fielding processes
  • Basic knowledge of Agile methodologies (Scrum, Kanban)
  • Interest in customer journeys, CX, and metrics like NPS

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