Develop and evolve interactive, automated dashboards to monitor business KPIs;
Automate strategic processes and reports for the area;
Create clear, strategic visualizations oriented toward decision-making;
Perform exploratory and in-depth analyses to identify patterns, trends, and opportunities;
Integrate and interpret data from multiple sources (product, audience, media, and campaigns);
Translate complex data into actionable insights for non-technical teams;
Monitor content consumption and performance metrics on digital platforms;
Structure and ensure the quality, consistency, and governance of data sets;
Work on integration and data modeling across different systems and platforms;
Identify opportunities to optimize results based on data;
Collaborate with technology, intelligence, and growth teams;
Support the definition and evolution of strategic metrics and indicators.

Educational background with a strong analytical foundation for predictive modeling and automation;
Prior experience in the media, marketing, or consumer behavior markets is a differential/plus;
Bachelor's degree in Data Science, Statistics, Computer Engineering, or Production Engineering (or related fields);
Strong knowledge of media and digital marketing metrics;
Advanced Power BI;
Advanced Excel (pivot tables, formulas, and data analysis);
SQL for data extraction and manipulation;
Experience with data pipelines and/or ETL tools;
Programming for data analysis (Python or R);
Prompt engineering: advanced ability to operate LLMs (ChatGPT, Claude, Gemini, Copilot);
Experience using AI APIs integrated with automation tools (n8n, Make, Zapier, or custom Python scripts);
Use of AI tools to create automation agents, generate insights, and modeling is a fundamental requirement.

Mid-level Data Scientist – Social Intelligence

Key skills