Role Summary:  As a Data Scientist, you will act as a key link between business stakeholders and technical teams, supporting operational, product, and strategic decision-making through data analysis, reporting, and visualization. You will design and deliver data-driven solutions that transform raw data into actionable insights. The role covers the full data lifecycle, including data ingestion, transformation, storage, modelling, and visualization, ensuring data quality, security, and compliance. You will collaborate closely with stakeholders and delivery teams to translate business requirements into scalable and reliable data solutions across cloud and on-premise environments. We are looking for a profile with strong analytical capabilities, excellent communication skills, and the ability to collaborate effectively in diverse and multicultural environmentsRole and Responsabilities: Design, build, and maintain data pipelines for analytics and reportingAnalyze, validate, and transform data to ensure accuracy and consistencyDevelop dashboards and reporting solutions (Power BI or similar) to support decision-makingTranslate business and product requirements into data models and analytical outputsDefine and track KPIs and performance metrics for products and servicesCollaborate with stakeholders to gather requirements and deliver data-driven insightsMonitor data workflows and resolve issues to ensure reliability and performanceSupport data warehousing and data integration across multiple sourcesMust have: Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent experience2–4 years of experience in data analysis, reporting,



or data engineering rolesStrong proficiency in Python or SQL for data processing and analysisStrong knowledge of SQL and relational databasesExperience with data visualization and dashboarding tools (e.G. Power BI)Experience in data cleaning, transformation, and validationUnderstanding of data modelling, data warehousing, and ETL processesExperience working with structured datasets in reporting and analytics contextsStrong analytical thinking and ability to translate data into business insightsExcellent communication and stakeholder engagement skills in English (minimum C1-Advance Level)Nice to have: Experience with KPI frameworks, performance metrics, and reporting governanceExperience supporting product, service, or portfolio reporting environmentsExperience with ETL tools or data integration platformsKnowledge of cloud environments (Azure, AWS, or similar)Familiarity with automation, scripting, or workflow toolsExperience with data quality monitoring and data governance frameworksKnowledge of DevOps or version control practices (Git, CI/CD)Relevant certifications (Power BI, ITIL, Data Analytics, Cloud)Experience working in complex, structured, or multi-stakeholder environmentsTools: Data visualization tools (Power BI, Tableau, or similar)Data querying and processing tools (SQL, Python, Jupyter, etc.)Data integration and ETL tools (SSIS, Informatica, Talend, Apache NiFi)Cloud platforms (Azure, AWS, Google Cloud)Version control tools (Git, GitHub, GitLab)Documentation and collaboration tools (Microsoft Office, SharePoint, Confluence)Workflow, ticketing, or monitoring tools for data pipelines and processesWhat impact will you make? #J-18808-Ljbffr

📌 Data Scientist_ia_bo Public Sector_madrid (Madrid, Es)
🏢 Deloitte España
📍 Madrid