Power BI Developer at Xpress Wellness Urgent Care

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, DAX, Power Query, SQL, Data Modeling, Microsoft Fabric, Azure Synapse, Azure Data Factory, Lakehouse Architecture, Row-level security, Data Governance, Performance Optimization, Star-schema, Dimensional Modeling, Analytical Thinking, Communication

Industry

Medical Practices

Description

Description The Power BI Developer is responsible for designing, developing, and maintaining enterprise-grade business intelligence solutions using Microsoft Power BI. This role partners closely with business stakeholders, data engineers, and IT leadership to deliver accurate, scalable, and secure dashboards and reports that support executive, operational, and clinical decision-making. The ideal candidate has strong experience with Power BI, data modeling, and DAX, along with a solid understanding of data governance, performance optimization, and modern data platforms such as Microsoft Fabric, Azure, or SQL-based environments. Requirements Power BI Development & Reporting Design, develop, and maintain Power BI reports, dashboards, and semantic models aligned to business requirements Create visually compelling, intuitive, and performant dashboards for executive, operational, and departmental audiences Develop reusable Power BI datasets and measures using DAX and best-practice data modeling techniques Data Modeling & Integration Collaborate with data engineering teams to consume data from SQL databases, data warehouses, Microsoft Fabric Lakehouse, Azure Data Factory, APIs, and other enterprise sources Build and maintain star-schema and dimensional data models optimized for reporting and analytics Validate data accuracy, consistency, and completeness across source systems and reports Security, Governance & Performance Implement row-level security (RLS) and role-based access controls in Power BI Optimize report and dataset performance through query tuning, model optimization, and capacity management Follow enterprise standards for naming conventions, documentation, version control, and deployment Stakeholder Collaboration Partner with business stakeholders to gather requirements, translate needs into technical designs, and deliver actionable insights Support UAT, release management, and ongoing enhancements based on user feedback Provide documentation and knowledge transfer for dashboards, metrics, and data definitions Operations & Continuous Improvement Monitor report usage and performance; proactively identify and resolve issues Stay current with Power BI features, Microsoft Fabric capabilities, and BI best practices Support analytics roadmap initiatives and contribute to BI standards and governance frameworks Qualifications: Education: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field (or equivalent experience) Qualifications: 3+ years of hands-on experience developing solutions with Microsoft Power BI using Fabric Lakehouse data source. Experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, or Lakehouse architecture. Strong proficiency in: Power BI Desktop and Power BI Service DAX and Power Query (M) SQL (writing and optimizing queries) Strong experience with data modeling concepts facts/dimensions Preferred Additional Qualifications: Experience implementing security (RLS) and managing Power BI workspaces Power BI or Microsoft Data Platform certifications Skills: Strong analytical thinking and troubleshooting skills with a keen attention to detail. Excellent communication skills, both verbal and written, to effectively interact with clinical and administrative staff. Ability to manage multiple tasks and projects simultaneously in a fast-paced environment.

Responsibilities

The Power BI Developer designs, develops, and maintains enterprise-grade business intelligence solutions and dashboards. They collaborate with stakeholders and data engineering teams to ensure accurate data modeling and secure report delivery.