Loja dos Prazeres
Data Analys / Data Scientist
Full Time · In Office · USA
Posted Jun 21, 2026
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- Role Description This remote, part-time Data Analyst / Data Scientist role at Loja dos Prazeres focuses on turning raw data into actionable insights that support strategic and operational decisions. Day-to-day responsibilities include collecting, cleaning, and structuring data from multiple sources, building reports and dashboards, and analyzing trends to identify opportunities or risks. The role involves applying statistical methods and data modeling techniques to understand customer behavior, product performance, and business outcomes. You will collaborate closely with cross-functional partners to clarify data requirements, translate findings into clear recommendations, and support experimentation and testing. The position also includes documenting methodologies, maintaining data quality standards, and contributing to the continuous improvement of analytics processes and tools.
- Qualifications
- Strong analytical skills and experience with data analytics to interpret complex datasets and generate clear, actionable insights.
- Proficiency in statistics, including hypothesis testing, experimental design, and common statistical models, to support data-driven decision-making.
- Ability to design and implement data modeling solutions (e.g., predictive models, clustering, segmentation) to address business questions.
- Effective communication skills to translate technical findings into accessible language for non-technical stakeholders.
- Experience with data analysis tools and languages (e.g., SQL, Python or R) and data visualization platforms (e.g., Power BI, Tableau, or similar).
- Familiarity with data cleaning, data validation, and basic ETL concepts to ensure accuracy and reliability of datasets.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering) or equivalent practical experience.
- Ability to work independently in a remote environment, manage priorities in a part-time schedule, and meet agreed deadlines.
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Data Analys / Data Scientist
Loja dos Prazeres
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