> Markdown version of [/jobs/ext/3878892-data-analyst](https://www.wearedevelopers.com/jobs/ext/3878892-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** NĂºmero De - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Configuration Management Databases, Databases, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Systems, Database Queries, Network Configuration and Change Management, Power BI, Standard Sql, SQL Databases, Systems Integration, Tableau (Software), Sql Optimization, Large Language Models, Snowflake, Generative AI, Pyspark, Information Technology, Data Analytics, Qlikview, Data Pipelines, Servicenow, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.adzuna.es/details/5938438155 ## About the Role If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!, At least 4 years in Data Analytics, with strong quantitative and qualitative analytical skills and a proven track record of solving complex data problems. - ETL/ELT Processing: Robust experience building ETL/ELT pipelines, ideally utilizing a PySpark / Databricks / Snowflake stack (or equivalent modern cloud technologies). - Advanced SQL: Strong, production-grade SQL skills for complex querying, data joining, and analytical operations across large-scale systems. - Large-Scale Asset & Infrastructure Datasets: Hands-on experience working with massive, enterprise-grade datasets related to IT infrastructure, hardware/software assets, network configurations, or cloud resources. - Dashboarding & Business Intelligence: Proficient in creating interactive dashboards using Power BI (or similar tools such as Tableau/Qlik) to translate data into business narratives. - Communication: Excellent oral and written communication skills, with the ability to lead data-focused discussions and customer-facing interactions independently. - Frontier AI Technologies: Practical knowledge of and experience using cutting-edge AI technologies, Generative AI tools, and LLM framework integrations. - Upper-intermediate English level. NICE TO HAVES - ServiceNow & CMDB: Hands-on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development experience is a huge plus. - Authoritative Data Source (ADS) Strategy: Experience designing or maintaining strategies for enterprise authoritative data sources. - Data Governance & Risk Management: Knowledge of enterprise data governance frameworks, compliance standards, internal audit protocols, and risk management processes. - Data Transformation Expertise: Demonstrated expertise in end-to-end data mapping, complex transformations, and normalization across disparate datasets. ## Description We are looking for a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders., Data Analysis & Visualization: Design, build, and maintain interactive Power BI (or equivalent) dashboards to deliver clear metrics on enterprise infrastructure, assets, and operational risks. - ETL/ELT Data Engineering: Develop, optimize, and maintain robust data transformation pipelines processing massive volumes of asset and infrastructure data. - Stakeholder & Client Leadership: Directly engage with customers, business partners, and engineering teams to identify requirements, translate business needs into data solutions, and independently resolve complex data challenges. - Data Querying & Modeling: Write complex, optimized SQL queries to manipulate, validate, and extract key insights from multi-source large-scale databases. - AI & Automation Integration: Evaluate and leverage frontier AI tools and technologies to improve data processing workflows, analytical modeling, and operational efficiency. - Data Quality & Governance: Assist in defining data mappings, transformations, and schema normalizations to maintain high standards of data integrity.