Data Analyst

🕒 August 21

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Selbetti Tecnologia

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤝 B2B

💼 Consulting

B2B • Consulting

Selbetti Tecnologia is a technology company (name and website assets indicate a Brazilian/Portuguese-language presence). The available information is limited to raw website CSS and Elementor markup without product or service descriptions. Based on the company name and site artifacts, it appears to be a business-focused technology firm (likely providing software, web development, or digital/IT services), but specific offerings, customers, or products are not stated in the provided content.

📋 Description

• Conduct exploratory and statistical analyses on complex datasets • Develop statistical, econometric, and time series models • Design and implement analytical pipelines in Python within the Databricks/Lakehouse ecosystem • Create and maintain dashboards and analytical reports for different stakeholder levels • Translate business problems into quantitative models and interpret results for leadership • Ensure data quality, methodological consistency, and data governance • Serve as a technical reference for analytical best practices • Lead advanced analyses and support leadership in defining business direction • Turn data into actionable insights, predictive and explanatory models, time series analyses, and high-impact visualizations • Contribute to the development of data products that support strategic decision-making and drive outcomes

🎯 Requirements

• Degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields • Strong foundation in probability, statistical inference, hypothesis testing, and distributions • Proven experience with regressions (linear, logistic, multivariate) and time series models (ARIMA, Prophet, or similar) • Proficiency in Python for data analysis and modeling • Experience working with large volumes of data and Data Lake/Lakehouse environments • Ability to communicate clearly with technical and executive audiences • Preferred: Previous experience with Databricks • Preferred: Experience in large companies or high-complexity analytical environments • Preferred: Knowledge of data visualization and building executive dashboards