Responsibilities

• Data Processing and Management: Process, clean, and structure large volumes of client data using SQL Standard on the Google BigQuery platform, ensuring data quality and availability for analysis.
• Advanced Econometric Modeling: Conduct monthly estimations of the contribution of Paid Media variables and other factors (economic, external) to client KPIs, utilizing R as the primary tool for model development.
• Media Optimization (Marketing Mix Modeling - MMM): Develop and apply MMM models using R and internal company platforms to optimize clients' media portfolios.
• Insights Analysis and Added Value: Provide in-depth analysis of the "Fast MMM" process each month, identifying key business decisions and delivering added value through actionable insights for media strategy.
• Strategic Results Presentation: Create and present clear and concise modeling results to clients and agencies, leveraging data visualization tools to highlight key findings, insights, and recommendations.
• Dashboard Input Generation: Deliver model outputs and files for use in the creation and updating of data visualization dashboards on platforms such as BigQuery and Tableau.

Requirements

• Educational Background: University degree in Economics, Statistics, Mathematics, Engineering, or related fields with a strong quantitative component.
• Professional Experience: 0 to 1 year of demonstrable experience in applying econometric models.
• Advanced proficiency in R for statistical analysis and modeling.
• Knowledge and experience in Python.
• Mastery of SQL for database manipulation and querying.
• Familiarity with data visualization tools such as Power BI, Tableau, or similar.
• Languages: Advanced English proficiency (B2/C1 level or higher), as you will work directly with U.S. teams.

Benefits

• Life insurance
• Wellness programs
• Significant paid time off
• Preferential partner discounts
• Employee mental health awareness day
• Access to internal learning platforms, certifications, and training sessions