Data Analyst Jobs in Des Moines, WA

About The Position

Requirements

• 10–15 years of overall experience in Business Intelligence / Data Analytics.
• Minimum 5+ years in Power BI, with expert -level DAX, data modelling, and dashboard design.
• Strong experience in QlikView development (scripting, UI, data modelling).
• Proven success in requirement gathering, stakeholder interaction, and solution architecture.
• Strong SQL skills and familiarity with cloud platforms (Azure preferred).
• Experience with Power BI Service, Power BI Gateway, and deployment pipelines.
• Excellent communication and presentation skills.
• Experience working in enterprise environments with complex data ecosystems.

Nice To Haves

• Experience with Azure Synapse, Databricks, ADF, or similar cloud data tools.
• Exposure to Power Automate and integration with Power Platform.
• Prior experience in consulting or client -facing roles.
• Certifications like Microsoft Power BI Data Analyst Associate (PL -300) or Azure Data Engineer.

Responsibilities

• Design, develop, and implement enterprise -grade Power BI solutions including data models, DAX calculations, dashboards, and reports.
• Build scalable semantic data models using best practices in performance tuning and data relationships.
• Establish Power BI architecture standards, governance, deployment pipelines, and workspace management.
• Lead BI modernization initiatives including migration from QlikView to Power BI .
• Analyze QlikView dashboards, scripts, and models to rebuild equivalent or improved solutions in Power BI.
• Provide expert guidance on optimizing the transition strategy and reducing technical debt.
• Collaborate with business stakeholders to gather, refine, and document analytics requirements .
• Translate business needs into technical solutions and data models.
• Conduct workshops, requirement discussions, and design review sessions with senior leadership.
• Work with data engineering teams on data pipelines, ETL processes, Azure services, SQL, and source integrations .
• Ensure data accuracy, consistency, and quality across reporting layers.
• Define BI development standards, reusable templates, naming conventions, and governance practices.
• Mentor junior developers and guide cross -functional teams on BI processes.
• Support architecture roadmaps for enterprise analytics platforms.