Data Analyst

Selbetti Tecnologia

Analista de Dados na Selbetti, empresa que usa dados para decisões de alto impacto. Desenvolvendo modelos estatísticos, pipelines Python e dashboards executivos.

Posted 8/21/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical analysis, econometric modeling, and data visualization, with proficiency in Python and experience in Databricks. Capable of translating complex business problems into actionable insights and predictive models while ensuring data quality and governance.

Highest-signal resume keywords

Statistical AnalysisPython ProficiencyTime Series ModelingData VisualizationData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical InferenceHypothesis TestingLinear RegressionLogistic RegressionMultivariate RegressionARIMA ModelingProphet ModelingAnalytical Pipeline DevelopmentData AnalysisData Quality Assurance

Soft Skills

Clear CommunicationStakeholder Engagement

Tools & Technologies

DatabricksLakehouseData LakeDashboard Development

Industry Keywords

EconometricsPredictive ModelingExploratory AnalysisData ProductsBusiness Intelligence

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Selbetti Tecnologia Website LinkedIn All 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. Data Analyst 🔥 5 minutes ago 🇧🇷 Brazil – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 📉 Data Analyst 👻 Ghost score 12% 🗣️🇧🇷🇵🇹 Portuguese Required Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 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
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