• Planning the company's data and analytics strategy. The objective is to incorporate the state of the art of data engineering to automate the ingestion, transformation and serving of data.• Managing the company's data and analytics team (3 people). The area seeks to act as a transversal team that seeks to respond to the needs of the rest of the areas of the company, so that they can have a reliable data ally that provides support to make data-driven decisions.• Building the data foundations of the company. Consolidating different sources of data with an on-premises server into the cloud using an incremental ETL process, modeling the data and making it available to internal and external stakeholders.• Minimizing the time-to-insight by providing easy-to-read data-driven models to technical and non-technical stakeholders to generate actionable insights based on data.

• Created operational metrics to quantify the performance, efficiency, and evaluation of projects. Worked mainly with the Operations and Marketing areas of the company.• Designed dashboards and visualization tools in order to track business and operational KPIs across the company.• Created and implemented PostgreSQL databases with core metrics, available to the entire organization.• Developed experiments and data analysis to determine the causal impact of marketing and operational policies.• Developed the data orchestration from the transactional productive database into a new data warehouse, creating the semantic metric layer with data models, logics and business definitions.• Developed an alert system in order to track anomalies in data. Specially regarding to discounts and potential fraud behaviour.

• Evaluated operational strategic decision-making of the company based on data, the modeling of payment schemes and incentives, and the feasibility of new business for the company.• Developed data analytics for operational KPIs. Automated database queries periodically in order to track and visualize them in dashboards for operations, finance, and sales.• Designed pricing and revenue model to determine the fees to be charged to the company's clients and renegotiations with clients during high-demand periods.• Implemented new incentive schemes for economic agents in a gig economy context based on their previous behavior.

• Created the current operating model, based on Vehicle Routing, Integer Optimization, and heuristics according to the state of the art in Operations Research.• Coordinated daily programming of the routes for the operation of the company.• Created core databases and metrics for the operational and financial areas if the company.• Created visualization tools in order to track revenue and operational KPIs. Also implemented a tracking panel in order to visualize daily delivery routes.• Implemented incentive, bonus and loyalty models based on data and behavior of economic agents.

• Developed proposals and analyses for the new e-commerce area of the supermarket chain.• Analyzed the feasibility of the current home delivery plans and proposed improvements to the operation.