Sabesp

Regulatory Analyst II, Market

Sabesp

full-time

Posted on:

Location Type: Hybrid

Location: São Paulo • 🇧🇷 Brazil

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Job Level

Mid-LevelSenior

Tech Stack

PandasPythonScikit-LearnSQL

About the role

  • Support market projections (budgetary and regulatory inputs): connections, customer accounts, measured and billed volumes;
  • Monitor market information: changes in market mix, elasticities, and comparisons between budgeted, actual and regulatory figures (identify gaps);
  • Perform analyses related to market changes (elasticities, losses, etc.);
  • Prepare technical reports, memos and presentations to support management;
  • Support company areas in responding to regulatory requirements;
  • Coordinate with consulting firms and other company departments for technical and strategic alignment.

Requirements

  • Degree in economics, mathematics, statistics, engineering or related fields;
  • Experience in data analysis and statistics;
  • Intermediate knowledge of data science tools such as Python (pandas, scikit-learn, statsmodels) and/or R (dplyr, ggplot2, etc.) and basic knowledge of SQL;
  • Intermediate knowledge of Excel and Power BI;
  • Ability to communicate technical insights clearly to non-technical audiences;
  • Strong written communication skills and ability to prepare technical reports;
  • Basic accounting and finance knowledge, including reading and interpreting financial statements such as the Income Statement (DRE), Balance Sheet and Cash Flow Statement.
Benefits
  • Master's degree, MBA or Lato Sensu postgraduate specialization in econometrics or data science;
  • Experience with econometric modeling and time series analysis;
  • Familiarity with model validation methodologies and performance metrics;
  • Intermediate knowledge of DAX (Power BI) and M language (Power Query);
  • Experience with Big Data platforms (Databricks, Spark, Hadoop) or cloud environments (Azure, AWS, GCP);
  • Basic understanding of Big Data concepts and ETL (Extract, Transform, Load) processes;
  • Data visualization and communication skills;
  • Data storytelling to communicate insights clearly.