> Markdown version of [/jobs/ext/3972237-enterprise-data-analyst-power-bi-fabric](https://www.wearedevelopers.com/jobs/ext/3972237-enterprise-data-analyst-power-bi-fabric). 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). --- # Enterprise Data Analyst (Power BI / Fabric) - **Company:** Randstad - **Location:** Redmond, WA, United States (Remote available) - **Experience:** Experienced - **Salary:** $88,629.0 - $109,429.0 - **Contract:** Contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Software Bug Management, Information Systems, Databases, Computer Engineering, Data Validation, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Structures, Relational Databases, Database Schema, Database Storage Structures, Python (Programming Language), Performance Tuning, Windows PowerShell, Proprietary Software, Power BI, Standard Sql, SQL Databases, Data Streaming, Enterprise Data Management, Software Licensing, Data Processing, Scripting, Freeform SQL, Enterprise Software Applications, Data Layers, Microsoft Fabric, Information Technology, Data Analytics, Operational Systems, Tools for Reporting, Data Pipelines - **Published:** October 27, 2026 - **Apply:** https://www.dice.com/job-detail/601a58e3-3c39-45f1-8a2a-0b0997d0e2ec ## About the Role Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline. 2-4 years of professional experience in enterprise data analysis and business intelligence reporting. 2+ years of hands-on experience building complex reporting dashboards using Power BI. Strong expertise in relational database management systems and advanced SQL query development. Proven experience developing and automating ETL data extraction, transformation, and load workflows. Ability to work standard business hours aligned to the Pacific Time Zone (PST). PREFERRED QUALIFICATIONS Experience using Microsoft Fabric for enterprise reporting and data engineering. Exposure to cloud licensing data, third-party software procurement analytics, or AI-related spend analysis. Scripting experience in Python or PowerShell for automated data tasks skills: Agile,AI,Data Analysis,data analytics,data integrity,data layers,data pipelines,data manipulation,data streams,database objects,database management systems,enterprise software,ETL processes,ETL pipeline,ETL workflows,complex SQL queries,Microsoft Fabric,Power BI,Python,relational database management systems,SQL query,scripting language,bug fixes,SQL knowledge,reporting platforms,PowerShell,adaptable,analytical,detail-oriented,Strong written and verbal communication,Coordinate,Troubleshoot,troubleshooting,analytical problem-solving skills,Self-motivated,automation,automate,automating,business intelligence tools,Business Intelligence reporting,business intelligence,cost optimization,dashboard,data modeling,presentation,ecosystems,technical design,governance,maintenance,modeling,investments,requirement elicitation,scheduling,spend analysis,technical leadership ## Description Our client, a global technology leader, is seeking a talented Data Analyst to join a high-impact software and cloud asset analytics group. In this role, you will partner with cross-functional technical and business stakeholders to evaluate, model, and optimize software licensing and next-generation AI enterprise spend. You will be responsible for translating complex data structures into actionable insights through robust Power BI dashboards, Microsoft Fabric architecture, and automated ETL pipelines., * Build, automate, and maintain interactive reporting models and dashboards using Power BI and Microsoft Fabric. * Design, schedule, and optimize enterprise-scale ETL pipelines to ingest and transform data from diverse operational systems. * Write and maintain complex SQL queries, database structures, and performance optimizations. * Partner with engineering leads and business stakeholders to define reporting requirements, data definitions, and governance practices. * Perform data validation, troubleshooting, and testing across databases and reporting layers to ensure reporting accuracy.