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Alejandra Perta BiniAP

Alejandra Perta Bini

Senior BI & Analytics Consultant | Python, R & SQL

€350/day
Ceuta, ES
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Alejandra

ECONOMIST AND SENIOR DATA, BUSINESS INTELLIGENCE AND STRATEGIC ANALYTICS PROFESSIONAL with over 15 years of experience leading data-driven transformation initiatives, KPI definition, corporate reporting, and decision support in organizations across various sectors.
Career developed in both consulting and internal positions, participating in Business Intelligence, advanced analytics, process automation, operational optimization, and business performance improvement projects in sectors such as iGaming, banking, hospitality, real estate, e-commerce, services, and digital businesses.
Experience collaborating closely with business teams, technological areas, and executive management to translate strategic needs into analytical solutions, information models, and reporting frameworks aimed at generating impact and facilitating decision-making.
Demonstrated ability to quickly adapt to new environments, understand different business models, and lead cross-functional initiatives in dynamic and transforming contexts. A profile that combines strategic vision, business orientation, and solid technical knowledge in Business Intelligence, data analysis, automation, and information management.
Experience in the design and implementation of KPIs, executive reporting, ETL processes, analytical automation, and solutions developed with Python, SQL, Power BI, and cloud technologies, contributing to improving data quality, operational efficiency, and the analytical capabilities of organizations.
  • Spanish

    Native or bilingual

  • English

    Fluent

Can work on-site
Ceuta (up to 50km), Palma (up to 100km), Málaga (up to 100km), Barcelona (up to 100km), Vigo (up to 100km)

Experience

  • CIRSA, Sportium
    SENIOR BUSINESS INTELLIGENCE & ANALYTICS SPECIALIST
    March 2025 - Today (1 year and 5 months)
    Ceuta, Spain
    •Joining a highly data-oriented environment, actively participating in the evolution and consolidation of the organization's analytical capabilities.
    •Reporting directly to the General Director of Sportium Spain, providing analysis, metrics, and insights to support strategic and operational decision-making.
    •Cross-functional collaboration with multiple business areas, including management, commercial, marketing, product, operations, and finance, developing a comprehensive understanding of the business and different decision-making processes.
    •Development and automation of analytical processes, ETL, and information models using Python and SQL for processing, integrating, and validating large volumes of data.
    •Design and monitoring of strategic KPIs linked to customer acquisition, conversion, activity, revenue, profitability, retention, and commercial efficiency.
    •Development of reporting solutions and dashboards to facilitate business performance monitoring and improve information availability for different organizational levels.
    •Participation in data quality initiatives, automation, and continuous improvement of analytical processes, contributing to increased reliability and scalability of corporate information.
    •Strong technical and functional growth in a highly dynamic and regulated industry, characterized by specific business models, metrics, and analytical processes that require a deep understanding of the interaction between customer behavior, operations, and revenue generation.
    Python SQL ETL PowerBI Revenue Analytics
  • AtidaMiFarma
    DATA SCIENTIST & BUSINESS ANALYTICS SPECIALIST
    E-COMMERCE
    April 2024 - March 2025 (10 months)
    Albacete, Spain
    •Participation in a highly dynamic and data-oriented technological environment, joining a sector different from my previous experience and quickly adapting to new processes, tools, and business needs.
    •Leadership of a strategic Marketing Analytics project aimed at centralizing and integrating information from multiple digital platforms and acquisition channels to improve analytical capabilities and decision-making.
    •Design and development of data integration, transformation, and automation processes from various digital marketing, social media, and advertising platforms.
    •Development of information models and reporting focused on monitoring commercial performance, customer acquisition, conversion, attribution, and campaign efficiency.
    •Automation of analytical and ETL processes using Python, SQL, and cloud environments to improve the availability, consistency, and quality of information.
    •Close collaboration with marketing, business, and technology teams to translate operational and strategic needs into scalable analytical solutions.
    •Development of dashboards and visualizations to facilitate KPI monitoring and support data-driven decision-making.
    •Participation in data quality initiatives, information validation, and continuous improvement of analytical processes.
    Marketing Analytics data-integration Data Visualization Machine Learning & Deep Learning Business Intelligence
  • Inkor Formaciones
    Trainer
    EDUCATION AND E-LEARNING
    February 2024 - April 2024 (2 months)
    Trainer in various courses. Data Mining and Scrum. Continues in the faculty of Inkor instructors called by course.

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Education

  • Master in Data Science and Business Analytics for Professionals
    IMF Smart Education & Universidad de Nebrija
    2022
    Las Herramientas del Científico de Datos Impacto y Valor del Big Data La ciencia de datos. Técnicas de análisis, minería y visualización, Inteligencia de Negocio y visualización. Estadística para científico de datos. Aprendizaje automático. Inteligencia artificial para la empresa. Tecnología y herramientas Big Data. El Big Data en la Empresa. Aplicaciones para sectores, Masterclasses, Estudios de Casos. Metodologías Ágiles y Scrum. Trabajo fin del Máster: Análisis de Liquidaciones Fallidas del Cecabank . Tratamiento de datos, técnicas de scraping, modelos de Machine Learning: Regresión Logística, XGBoost, Árboles de Decisión, Clustering y Redes Neuronales
  • Degree in Economics. Postgraduate studies in Business Economics
    Universidad Nacional del Sur. Argentina
    2001
    Matemática I y II Investigación Operativa Álgebra Estadística Econometría I y II Elementos Contables Elementos del Derecho Microeconomía I y II Macroeconomía I y II Filosofía Sociología Historia del Pensamiento Económico Proyectos de Inversión Informática Aplicada Historia Económica Desarrollo Económico Finanzas Públicas

Skill set

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