Senior Data Analyst

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Talan

1001 - 5000 employees

Founded 2003

💼 Consulting

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-07

Consulting • Enterprise • SaaS

Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.

📋 Description

• Gather, analyze, and document business and reporting requirements • Translate business needs into scalable analytics and reporting solutions • Design, develop, and maintain Power BI dashboards, reports, and semantic models • Prepare, transform, and model data using Microsoft Fabric and related technologies • Partner with business stakeholders to provide insights and support data-driven decision-making • Ensure data quality, consistency, and governance standards are followed • Perform testing and validation of data models, reports, and analytics solutions • Create and maintain technical and functional documentation • Support self-service analytics adoption across the organization • Collaborate within Agile teams and participate in Scrum ceremonies • Drive continuous improvement and contribute to the evolution of the data platform

🎯 Requirements

• Experience as a Data Analyst delivering reporting and analytics solutions • Strong experience with Power BI • Experience with Microsoft Fabric and modern cloud data platforms • Strong SQL skills, including data analysis and query optimization • Experience gathering and documenting business requirements • Experience working directly with business stakeholders • Knowledge of data modeling and data warehousing concepts • Experience with data quality, validation, and governance practices • Familiarity with Agile methodologies such as Scrum or Kanban • Strong communication and presentation skills • Ability to translate complex data into meaningful business insights • Nice to have: Experience within Financial Services, Banking, Insurance, FinTech, or related industries • Nice to have: Experience with Azure Data Factory, Azure Data Platform, or Databricks • Nice to have: Experience with AI-enabled analytics, machine learning, or advanced analytics solutions • Nice to have: Microsoft certifications related to Data Analytics, Fabric, Azure, or Data Engineering • Nice to have: Experience supporting self-service analytics adoption initiatives

🏖️ Benefits

• Fully remote work model • Long-term employment contract • Work within the Spain time zone (CET/CEST)

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