Freelance Data Analysts in Community of MadridFreelance Data Analysts in Community of Madrid
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Esteban Aleart Salas's avatar
Esteban Aleart Salas
Madrid, Spain
Full Stack Dev & SaaS Architect, scalable B2B platforms.
Full Stack Dev & SaaS Architect, scalable B2B platforms.
Cover image for DoctorCar is a workshop management platform
DoctorCar is a workshop management platform that offers tools to manage and organize the work of mechanics, as well as manage the relationship with customers. * Workshop Management: allows management and organization of mechanics' work, including task assignment and progress tracking. * Customer Management: allows management of customer relationships, including the creation of customer profiles, tracking of repair history, and invoicing. * Inventory Management: allows management of spare parts and materials inventory, including stock updates and order management. * Reporting and Analysis: allows generation of reports and analysis on workshop performance, including mechanic productivity and service profitability.
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Cover image for TaskManager is a project and task
TaskManager is a project and task management platform that offers tools to organize and assign tasks, track progress, and collaborate with team members. Key Features: * Project and task management * Task assignment and progress tracking * Team collaboration and communication * Productivity reporting and analytics * Integration with calendars and email Advantages: * Simplifies project planning and organization * Enhances team collaboration and communication * Allows for progress tracking and identification of areas for improvement * Provides reports and analytics for informed decision-making
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Cover image for Nakama (wearenkm.com (http://wearenkm.com)) es un
Nakama (wearenkm.com (http://wearenkm.com)) es un ecosistema de consultoría y desarrollo enfocado en la creación de productos digitales escalables. Trabajamos con startups y empresas en crecimiento para diseñar, construir y evolucionar plataformas web, SaaS y soluciones basadas en inteligencia artificial. Nuestro enfoque combina desarrollo full stack (JavaScript, React, Next.js), arquitectura de sistemas e integración de tecnologías modernas como APIs, automatización y modelos de IA (embeddings, RAG), permitiendo transformar ideas en productos sólidos y preparados para crecer. Más que desarrollo, en Nakama aportamos visión técnica y de producto, ayudando a tomar decisiones estratégicas que eviten deuda técnica y aseguren escalabilidad a largo plazo.
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Cover image for Parabola is a no-code automation
Parabola is a no-code automation platform that allows users to create custom workflows and automate tasks without requiring extensive coding knowledge. The platform provides a visual interface for designing workflows, integrating with various apps and services, and automating tasks. Key Features: * No-code workflow automation * Visual interface for designing workflows * Integration with various apps and services * Customizable workflows * Automation of repetitive tasks
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Data Analyst(2)
HAMZA EL QADIRI's avatar
HAMZA EL QADIRI
Madrid, Spain
Data Engineering & AI,
New to Contra
Data Engineering & AI,
Cover image for Sales & Customer Dashboard: Unlocking
Sales & Customer Dashboard: Unlocking Insights with Tableau Analyzing sales performance and customer behavior is crucial for businesses to make informed decisions. The Sales & Customer Dashboard is designed to provide stakeholders with a comprehensive overview of sales metrics, trends, and customer insights. By leveraging Tableau's data visualization capabilities, this dashboard empowers sales managers, executives, and marketing teams to identify areas of improvement, optimize strategies, and drive growth.
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Cover image for Azure Data Pipeline for E-commerce
Azure Data Pipeline for E-commerce Analytics : E-commerce teams drown in raw sales CSVs and scattered APIs—while revenue leaks hide in untracked product returns and regional stock-outs. I built a cloud-native, end-to-end analytics pipeline that turns chaotic transactional data into sub-minute Power BI insights, letting merchandisers act on trends before they become costly mistakes.
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Cover image for Spotify Loader Benchmark The Spotify Loader Benchmark is
Spotify Loader Benchmark The Spotify Loader Benchmark is a comprehensive framework for evaluating different data loading strategies on the Spotify dataset, providing insights into the performance of various loading mechanisms. By comparing sequential, vectorized, multithreaded, raw SQL, Celery-based, and Flink-based loaders, this project helps developers optimize their data loading processes. With its robust architecture and flexible design, the Spotify Loader Benchmark is an essential tool for anyone working with large datasets.
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Cover image for The AI-Powered Modern Data Platform
The AI-Powered Modern Data Platform for E-Commerce is a cutting-edge solution that bridges the gap between complex data infrastructure and business users. This project combines a robust modern data stack with advanced AI capabilities, enabling natural language analytics over an enterprise-grade E-Commerce Data Warehouse. By leveraging Artificial Intelligence, Large Language Models, and Retrieval-Augmented Generation (RAG), this platform empowers business users to ask questions in natural language and receive actionable insights.
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Data Analyst(3)
Fernando Ospina's avatar
Fernando Ospina
Madrid, Spain
Passionate tech enthusiast
Passionate tech enthusiast
Cover image for US Census Data Visualisation
US Census Data Visualisation
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Cover image for OECD COVID-19 Dashboard
OECD COVID-19 Dashboard
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Cover image for Snowflake Data Pipeline Project
Snowflake Data Pipeline Project
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Data Analyst(3)
Dilson Cassaro's avatar
Dilson Cassaro
Madrid, Spain
Data, QA & AI Evaluation Specialist
New to Contra
Data, QA & AI Evaluation Specialist
Cover image for E-commerce Sales Dashboard in Power
E-commerce Sales Dashboard in Power BI Interactive Power BI dashboard designed to analyze e-commerce sales performance. The dashboard presents key business metrics related to revenue, customers, and product performance through interactive visualizations. I built the dashboard to organize business data into clear KPIs and visual views that make it easier to monitor sales performance and identify relevant patterns. The project demonstrates practical experience in Power BI, data analysis, KPI reporting, dashboard design, and data visualization.
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Cover image for E-commerce sales analysis using SQL
E-commerce sales analysis using SQL and Python to identify business trends and customer insights. The project combines SQL-based analysis with Python to explore sales performance, revenue trends, product performance, and customer-related patterns. I used SQL to query and aggregate the data and Python to further manipulate, analyze, and visualize the results. The analysis demonstrates practical experience in SQL querying, data manipulation, exploratory data analysis, data interpretation, and business-focused reporting.
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Cover image for Personal data analysis project exploring
Personal data analysis project exploring Airbnb listings in Madrid using Python and Pandas. The project focused on cleaning, validating, and exploring a real-world dataset to identify patterns in Airbnb listings, pricing, and location. I used Python and Pandas to prepare the data, handle inconsistencies, perform exploratory analysis, and extract meaningful insights from the dataset. The analysis included comparing average prices across Madrid neighborhoods and identifying geographic patterns in listing prices. The visualization shown here highlights the 10 most expensive neighborhoods for entire-home Airbnb listings based on average price. Skills demonstrated: Python, Pandas, data cleaning, exploratory data analysis, data interpretation, and data visualization. This project is part of my independent data analytics portfolio and demonstrates my ability to turn raw datasets into structured analysis and clear, actionable insights
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Cover image for Task Assignment Tool is a
Task Assignment Tool is a web-based application I built with Python and Streamlit to help team leads assign and manage tasks across multiple testers. The application was designed to address practical workload-management and task-allocation challenges in multi-user testing environments. Users can upload team rosters in CSV or Excel format, create and assign tasks based on language requirements, monitor tester availability and workload, and manage assignment conflicts when multiple users are working simultaneously. The tool also generates reports with actionable insights and supports real-time collaboration, making task allocation and workload distribution more transparent and structured. The project demonstrates practical experience in Python application development, workflow automation, data handling, workload management, and building tools designed around real operational problems. Tech stack: Python, Streamlit, GitHub.
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Data Analyst(3)
Chloe Cook's avatar
Chloe Cook
Madrid, Spain
Curiosity-Driven Market Research & Brand Strategy
Curiosity-Driven Market Research & Brand Strategy
Cover image for The Jennifer Hudson Show
The Jennifer Hudson Show
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Cover image for JollyPaws: Unlocking New Opportunities in Pet Health
JollyPaws: Unlocking New Opportunities in Pet Health
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Cover image for Defining Trust with The Motley Fool
Defining Trust with The Motley Fool
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Cover image for HomeIO Case Study — Affiliate Marketing & UGC
HomeIO Case Study — Affiliate Marketing & UGC
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Data Analyst(1)
Juan Pablo Guerrero Romo's avatar
Juan Pablo Guerrero Romo
Madrid, Spain
Head of Product | Senior Product Manager
Head of Product | Senior Product Manager
Cover image for Leading growth in a global company
Leading growth in a global company
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Cover image for AI-Powered Outreach
AI-Powered Outreach
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Cover image for Embracing Customer Centricity
Embracing Customer Centricity
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Cover image for From Zero to One
From Zero to One
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Data Analyst(1)
Cristhian Velasquez's avatar
Cristhian Velasquez
Madrid, Spain
GA4/GTM measurement & server-side, from tracking to insight
New to Contra
GA4/GTM measurement & server-side, from tracking to insight
Cover image for Built the AI-traffic measurement layer
Built the AI-traffic measurement layer on my own site: correct GA4 capture of ChatGPT/Perplexity referrals, LLM crawler segmentation (GPTBot, OAI-SearchBot, PerplexityBot) and a BigQuery attribution pipeline connecting cited prompts to sessions. The exact method I deploy for clients.
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Cover image for Floodlight recording zero conversions despite
Floodlight recording zero conversions despite confirmed traffic (automotive): identified 4 simultaneous causes, fixed the pixel and sequencing, validated in Preview.
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Cover image for Consent Mode v2 audit on
Consent Mode v2 audit on a fashion eCommerce: 154 tags reviewed, gates added to 15 server-side tags. Zero personal data sent without consent before go-live.
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Cover image for GTM container migration for a
GTM container migration for a hotel-distribution provider without breaking measurement: 177→102 variables, 21→7 tags, no broken references, legacy Universal Analytics retired.
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Data Analyst(5)