Senior Business Intelligence Developer

Senior Business Intelligence Developer

• Position Type:
  Leading District Professional/ Technology
• Date Posted: 9/14/2026
• Location:
  
  District Service Center

Reports to: Senior Executive Director - Business Systems

Salary: $86,673-$104,426

Pay Grade: 506

Duty Days: 239

FLSA Status: Exempt

PC#: 26445 and 26446

Leads the design, development, and implementation of enterprise-level dashboards and reports that support district wide decision-making on operational efficiency, and strategic initiatives. Develops scalable business intelligence and analytics solutions using Microsoft Power BI and Azure data services while ensuring adherence to data governance, security, and compliance best practices. Partners with stakeholders to gather requirements, transform complex data into meaningful visualizations, and deliver actionable insights that enable informed, data-driven decisions.

• Leads the design, development, deployment, and maintenance of enterprise-wide business intelligence solutions using Microsoft Power BI, Azure data services, and related Microsoft technologies.
• Develops and maintains scalable semantic models, datasets, dataflows, and dashboards that provide actionable insights to executive leadership, district departments, and operational teams.
• Collaborates with business stakeholders to gather, analyze, and document reporting requirements; translates business needs into effective data models, visualizations, and analytical solutions.
• Designs and implements interactive dashboards, scorecards, and key performance indicator (KPI) reporting solutions that support strategic planning, operational efficiency, and data-driven decision-making.
• Develops complex DAX calculations, measures, and performance-optimized data models to support advanced analytics and reporting requirements.
• Designs, builds, and optimizes Extract, Transform, and Load (ETL/ELT) processes using Azure Data Factory, Microsoft Fabric, SQL Server Integration Services (SSIS), or similar technologies.
• Monitors and optimizes Power BI performance, capacity utilization, refresh schedules, and report efficiency to ensure reliability and scalability.
• Conducts testing, troubleshooting, and root-cause analysis to resolve data quality, reporting, and system performance issues.
• Implements and maintains row-level security (RLS), workspace administration, data access controls, and compliance with organizational security policies.
• Evaluates emerging business intelligence technologies, Microsoft platform enhancements, and industry best practices to recommend and implement continuous improvements.
• Develops technical documentation, data dictionaries, user guides, and training materials to support system sustainability and user adoption.
• Participates in strategic planning initiatives and contributes expertise regarding data architecture, reporting strategy, analytics maturity, and enterprise business intelligence roadmaps.

• None

• All Fort Worth ISD employees must maintain a commitment to the District's mission, vision, and strategic goals.
• Exhibits high professionalism, standards of conduct and work ethic.
• Demonstrates high quality customer service; builds rapport/relationship with the consumer.
• Demonstrates cultural competence in interactions with others; is respectful of co-workers; communicates and acts as a team player; promotes teamwork; responds and acts appropriately in confrontational situations.

• Performs all job-related duties as assigned and in accordance to the Board rules, policies and regulations. All employees are expected to comply with lawful directives in rare situations driven by need where a team effort is required.

• Knowledge of Microsoft Power BI, including report development, semantic modeling, dataflows, deployment pipelines, workspace administration, and governance.
• Knowledge of data modeling concepts, dimensional modeling techniques, star and snowflake schemas, and business intelligence architecture.
• Knowledge of DAX (Data Analysis Expressions), Power Query (M), and SQL programming.
• Knowledge of Microsoft Azure data services, including Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Microsoft Fabric, and related cloud-based analytics technologies. ? Knowledge of ETL/ELT methodologies, data integration techniques, and data warehousing best practices.
• Knowledge of data governance frameworks, metadata management, master data…