Responsibilities:- Standardizing Metric Calculations: Analyzing and understanding the existing metric calculation processes. Using Snowflake, Dbt, Git , Bitbucket and SQL, I develop standardized procedures to replicate these calculations efficiently for new data layers.- Data Analysis and Transformation: I conduct in-depth data analysis to ensure accuracy and consistency in the metric calculations. This includes identifying data discrepancies and addressing them in the standardization process.- Quality Assurance: I implement rigorous quality assurance checks to validate the accuracy of standardized metrics. This involves creating validation scripts and conducting regular audits to ensure data integrity.- Documentation and Training: I document the standardized metric calculation procedures. This ensures that everyone involved understands and follows the standardized processes.

Responsibilities:- Gather and analyze performance data from the BEES Marketplace application to optimize all in-app communications, focusing on key metrics such as reach, clicks, and conversions. Utilize tools like Python, SQL, Amplitude, Braze, PowerBI, and Excel for data analysis.- Create dashboards to visualize the performance of all communications within the BEES Marketplace, facilitating data-driven business decision-making. Employ PowerBI and SQL for dashboard development.Achievements:I led a project aimed at optimizing the number of communications per customer type, identifying a 400% overexposure of ads to customers. This led to strategic business decisions to increase digital advertising sales by 30%.Reduced report generation times for partners by 90% through the creation of a dashboard.

Responsibilities:-Oversee a talent program focused on applying data knowledge across various marketing areas.Collaborate with a deep social listening analysis provider to initiate the first projects.-Develop a methodology for campaign evaluation based on data analysis.-Establish the capability to integrate third-party report data with our own data.-Attribute more than 200 consumer behavior characteristics to our customer database.Achievements:-Successfully initiated the first projects in collaboration with a deep social listening analysis provider.-Developed a comprehensive methodology for campaign assessment, enhancing decision-making processes.-Implemented data integration capabilities, allowing us to connect third-party reports with our internal data sources.-Successfully attributed over 200 consumer behavior characteristics to our customer database, enhancing customer insights and segmentation strategies.

-Diseño de dispositivos para optimizar procesos de Metalización.-Estandarización de procedimientos para trabajas de Metalización.-Entrenamiento completo en Linea CAT y sus derivados.

Tutor física mecánica