Data Analyst

atSelbetti TecnologiaRemoteBR flagBrazilFull-timeData AnalystMid-levelSenior

Posted Aug 21

This is a fully remote position, open to applicants in Brazil.

πŸ“‹ Description

β€’ Perform exploratory and statistical analyses on intricate datasets

β€’ Create statistical, econometric, and time series models

β€’ Design and execute analytical workflows in Python within the Databricks/Lakehouse framework

β€’ Develop and update dashboards and analytical reports for various stakeholder tiers

β€’ Convert business challenges into quantitative models and present interpretations to leadership

β€’ Maintain data quality, methodological integrity, and governance

β€’ Act as a technical advisor for analytical best practices

β€’ Lead complex analyses and assist leadership in shaping business strategy

β€’ Transform data into actionable insights, predictive and explanatory models, time series analyses, and impactful visualizations

β€’ Contribute to the creation of data products that aid strategic decision-making and enhance outcomes


⛳️ Requirements

β€’ Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline

β€’ Strong knowledge of probability, statistical inference, hypothesis testing, and distributions

β€’ Demonstrated experience with regression techniques (linear, logistic, multivariate) and time series models (ARIMA, Prophet, or similar)

β€’ Proficient in Python for data analysis and modeling tasks

β€’ Experience handling substantial datasets and working within Data Lake/Lakehouse environments

β€’ Capable of clearly communicating with both technical and executive audiences

β€’ Preferred: Prior experience with Databricks

β€’ Preferred: Background in large organizations or complex analytical settings

β€’ Preferred: Familiarity with data visualization and the development of executive dashboards


🏝️ Benefits

β€’ Comprehensive health and wellness programs

β€’ Opportunities for professional development and growth

β€’ Flexible working arrangements

β€’ Collaborative and innovative work environment

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