Responsibilities- Analyze business requirements in order to design and create data strategies or reports that effectively address the needs.- Design the data architecture of projects to efficiently solve business requirements.Build applications that comply with data architecture, enterprise architecture, and address business needs.- Optimize applications to reduce: space, resource consumption, and loading times.Achievements- Reduced the size of applications by approximately 45%.- Designed a data architecture that allows for a 30% reduction in resources and loading time.

Responsibilities: - Manage analytical development factories: coordinate project demands, provide recommendations for continuous improvement, and regularly communicate new features and product benefits to clients. - Design data architecture, ensure quality validation, and provide technical leadership throughout the project lifecycle. - Develop proof of concept projects to validate proposed solutions. - Lead a team of 15 individuals for the execution of analytical factory projects and provide mentorship to each of the teams. Achievements:- Led projects that yielded a return on investment of 200%.- Designed the data architecture for over 40 projects.

Responsibilities: - Analyze business requirements in order to design and create data strategies or reports that effectively address the needs. - Process and analyze collected data to identify behavioral patterns, performance insights, and more, using tools like SQL, Python, or Qlik. - Define KPIs and develop reports that enable information analysis across all levels of decision-making (operational, tactical, and strategic levels). Achievements: - Executed projects that led to savings of over 5 billion pesos annually in expenses. - Optimized ETL processes, reducing execution time by an average of 2.5 times faster, and in some projects, even more than 30 times faster.- Constructed over 30 dashboards, enabling users to make better decisions with tailor-made KPIs.