- 경험
- 어느
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 1시간 전
- Work mode
- 재택근무
- 교육
- 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
직무 설명
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.