Alberto Martínez López Email & Phone Number

Argentina

Provincia De Buenos Aires, Argentina

Provincia De Buenos Aires, Argentina

Focus on Ecommerce Areas: Digital Marketing, Traditional Marketing, Online Payments and Fraud Management, After-sales Service, and Logistics. Analysis of different complexities, forecasts, projections, integrations, and automations:Performance of the complete marketing funnel and its relationship with the commercial and logistics world, sales and investment forecasting by channel, comparisons against the market and competitors, real-time dashboards for major commercial events, payment platform performance and its relationship with chargebacks, audience management for email marketing and pay media, in-depth customer analysis (RFM and other clusters, lifetime value, cohorts, relationship with commercial categories, etc.), analysis of complaints management, shipping price analysis and calculations, among others. Use of multiple query platforms (direct, API, and/or server), such as those in the Google ecosystem (Analytics, ADS, DV360, CM360), Facebook Business Manager, Salesforce Marketing Cloud, CyberSource, Decidir, and Vtex, among others. Utilization of data query, management, and visualization tools such as Python, SQL, DataStudio/Looker, Microstrategy, Tableau, Excel, etc. Handling large volumes of data (millions of customers).

Provincia De Buenos Aires, Argentina

Reporting to General Management. Main responsibilities:Creating and managing dashboards to report on business operations and facilitate data-driven decision-making.Conducting data audits to ensure data accuracy and reliability.Generating hypotheses, solutions, and proposals for improvement to optimize processes and results.Serving as a liaison between regulatory bodies and suppliers to ensure compliance with regulations and commercial agreements.Preparing management control reports through automation to provide insights to senior management and support strategic decision-making.Tracking daily, weekly, and monthly performance of the business to identify improvement opportunities and measure progress.Utilizing tools such as Excel, SQL, Python, Data Studio, etc. to analyze data and derive actionable insights.

Caba, Argentina

Designing of BI processes and setting of data model structures.Calculations and operational performing data analysis. Processes and procedures, continuous improvement system.Budget and managment control. Reports, dashboards and KPI. Analyzing and identifying gaps and areas for improvement. Modeling and designing of data repositories. Use of Python, MySQL, Tableau, Power BI, MS Project, Excel, Visio, Autocad, etc.

Alem 351. Caba. Buenos Aires

Identifying continuous improvement opportunities through automation and/or efficiency initiatives. Data planning, forecasting, reporting and analysis. Assistance by providing financial and technical insights, management information, scenario planning and solutions. Monitoring and reporting of plans’ performance to ensure that contractual, cost, and schedule objectives are accomplished.

Caballito, Buenos Aires

Creation of dashboards for South American Area Manager. Creation of a key performance indicator system. Application of BI techniques. Reporting and managment control.

Provincia De Buenos Aires, Argentina

Participation in the creation of a key indicator system of the PISA (Integral Environmental Sanitation Plan). Project development and supervision. Creation of dashboards and reporting. Advanced use of Excel, Project and Visio. Standardization and optimization of processes and procedures. Use of geographic information systems and field mapping techniques to geolocate large scales of data, using: G-Earth, Global Mapper, Map Source, Autocad and Raster Design.

Buenos Aires, Provincia De Buenos Aires, Argentina

Drafting of technical progress reports for the Digital Television Projects. Survey of areas for the construction of Digital TV transmitting antennas. Analysis of suppliers’ budgets of materials for the construction of Transmitting Antennas.

Data Scientist, Data Science

Machine learning techniques. Data visualization, supervised and unsupervised learning techniques. Regression and classification problems..

Ingeniería, Ingeniería Industrial

Completion of the first four years of the course. Quality Specialty. Career supervised by the National Institute of Technology (INTI).

Ingeniería, Computer Science

Completion of the first three years of the course.

Pc Maintenance, Computer Engineering Technologies/Technicians

Disassembled and assembled PC. Computer Tools. Excel, Access and others.

Bachillerato, Business/Managerial Economics

Economy and management of organizations.