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O

Data Analyst (Entry / Junior)

O Boticário - CP Produtos de Beleza Aroma

Remote · À temps plein

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Expérience
N'importe lequel
Salaire
Ouvertures
1
Publié
il y a 12 heures
Work mode
Travaillez à domicile
Éducation
Bachelor's degree
Eligibility
Candidates with a university degree in a related quantitative or technical field, or equivalent experience, are suitable for this role. Applicants should be able to work independently in a remote setup and should be open to learning new tools and methods.
Resume
Required to apply

Description de l'emploi

Role overview

O Boticário - CP Produtos de Beleza Aroma is hiring an entry-level Data Analyst to support business decisions through clean, well-structured data and clear reporting. In this role, you will gather information from internal sources, prepare and organize datasets, and turn them into easy-to-understand dashboards, summaries, and performance metrics. You will also help build basic data models, check results with other teams, and make sure information remains accurate and consistent.

What you'll do

  • Collect data from different internal business sources and prepare it for analysis.
  • Clean, structure, and organize datasets so they are ready for reporting and decision-making.
  • Create straightforward reports, dashboards, and metrics for business, marketing, and operations teams.
  • Support the development of simple data models and verify outputs with relevant stakeholders.
  • Document workflows, processes, and findings in a clear and practical way.
  • Explain insights to non-technical colleagues in a simple and understandable manner.

Requirements

  • Strong analytical thinking with foundational knowledge of data analysis and the ability to identify meaningful patterns.
  • Basic understanding of statistics and data modeling concepts.
  • Good communication skills to present results clearly and work with cross-functional teams.
  • A university background in mathematics, statistics, computer science, engineering, economics, or a similar field, or equivalent experience.
  • Working knowledge of data analysis and visualization tools such as advanced Excel, Power BI, Tableau, or similar spreadsheet-based tools.
  • Nice to have: early exposure to SQL or Python for data analysis, plus curiosity to learn new technologies and working methods.
  • Ability to work independently in a remote environment, manage time well, and maintain strong attention to detail.

Work arrangement

This is a full-time remote position.

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