Data Analysis: Ability to collect, process and interpret large volumes of data from multiple sources, such as Google Analytics, Google Ad Manager, Globo datasets, etc.
Analyze results of statistical models, translating them into relevant and actionable insights for clients.
Develop clear, impactful presentation materials with a focus on data storytelling.
Serve as the point of contact with internal and external clients to deliver study presentations.
Propose new analytical approaches and optimize delivery workflows, seeking efficiency and innovation.
Identify and explore new opportunities for analytic tools and methods available in the market.
Act as a technical reference for measurement studies and performance evaluation.
Create reports and interactive dashboards that integrate data from multiple sources.
Perform data cleaning and manipulation in BigQuery.
Programming and scripting: Basic knowledge of programming languages such as SQL or Python to implement customizations and automations in analyses.
Requirements
Knowledge of digital metrics (CTR, VTR, VA, CPM).
Experience with measurement and data tools (Google Analytics, Google Ad Manager, BigQuery).
Knowledge of TV metrics (TRP, GRP).
Knowledge of SQL and Python (intermediate level preferred).
Familiarity with BI and data visualization tools (Looker Studio, Power BI, Tableau, etc.).
Ability to interpret and communicate results of statistical models and attribution analyses.
Strong statistical reasoning: understands and interprets model results, validates hypotheses, and translates conclusions into clear insights.
Proficiency in Excel and Google Sheets.
Bachelor’s degree in Marketing, Advertising, Economics, or a related field.
Benefits
Our selection processes are conducted 100% remotely.
Training and professional development.
We create environments where everyone is included, welcomed, and valued.
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