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As a Power BI Developer, you will be part of a consulting team delivering data and analytics ... Experience with Microsoft Fabric (Lakehouse, Warehouse, Direct Lake) * Familiarity with Azure data ...

... direct query, etc. * In-depth experience with Microsoft Analytics Stack (SQL Server, SSAS Tabular, SSRS, Power BI, Power Query, SQL and T-SQL) * Proficient in making DAX queries. * Advance knowledge ...

... direct query, etc. * In-depth experience with Microsoft Analytics Stack (SQL Server, SSAS Tabular, SSRS, Power BI, Power Query, SQL and T-SQL) * Proficient in making DAX queries. * Advance knowledge ...

... direct query, etc. * In-depth experience with Microsoft Analytics Stack (SQL Server, SSAS Tabular, SSRS, Power BI, Power Query, SQL and T-SQL) * Proficient in making DAX queries. * Advance knowledge ...

Sr. Power BI Developer NYC/ Connecticut Direct Client 12+ Months Position Responsibilities: * 60% Develop, test and deploy complex Power BI reports, extensive DAX queries, connected to complex Azure ...

Senior Power BI Developer Duration: 6 Months (3 Yrs Ext) Location: Austin, TX 78751. The working ... and direct the work of others, a wide degree of creativity and latitude is expected. Develops ...

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Director Power Bi information

What are the key skills and qualifications needed to thrive as a Director, Power BI, and why are they important?

To thrive as a Director, Power BI, you need advanced expertise in data analytics, business intelligence strategy, and a strong background in data management, typically supported by a relevant degree and extensive BI experience. Mastery of Power BI, DAX, SQL, and familiarity with cloud platforms and data visualization tools are essential, along with certifications like Microsoft Certified: Data Analyst Associate. Exceptional leadership, communication, and stakeholder management skills help drive data-driven decision-making across the organization. These abilities are crucial for aligning BI initiatives with business goals and ensuring impactful, actionable insights.

How does a Director of Power BI typically collaborate with other departments to drive data-driven decision-making?

A Director of Power BI works closely with cross-functional teams such as IT, business analysts, finance, and operations to understand their data needs and translate them into actionable dashboards and reports. They often facilitate workshops, gather requirements, and ensure data integrity while aligning business goals with analytics solutions. This role requires strong communication skills to bridge technical and non-technical stakeholders, fostering a collaborative environment that encourages data-driven culture across the organization.

What does a Director of Power BI do?

A Director of Power BI is a senior leader responsible for overseeing the strategic implementation and management of Power BI solutions within an organization. They guide data analytics teams, establish best practices for data visualization and reporting, and ensure that business intelligence initiatives align with organizational goals. This role often involves collaborating with stakeholders to understand business needs, driving data-driven decision-making, and ensuring data governance and security within Power BI environments. Additionally, the Director of Power BI may be responsible for mentoring staff, managing budgets, and ensuring ongoing optimization of business intelligence processes.

What is the difference between Director Power Bi vs Power BI Developer?

AspectDirector Power BiPower BI Developer
CredentialsTypically requires advanced certifications (e.g., Microsoft Certified: Data Analyst Associate), extensive experience in BI leadershipOften requires certifications like Microsoft Certified: Data Analyst Associate, relevant technical skills
Work EnvironmentStrategic leadership, team management, cross-departmental collaborationTechnical development, report/dashboard creation, data modeling
Industry UsageUsed in organizations for BI strategy, decision-making oversightUsed for building and maintaining Power BI reports and dashboards

The main difference between Director Power Bi and Power BI Developer lies in their focus and responsibilities. The Director oversees BI strategy and leadership, while the Developer focuses on technical report creation and data modeling. Both roles require relevant certifications and are integral to data-driven decision-making in organizations.

More about Director Power Bi jobs
What cities are hiring for Director Power Bi jobs? Cities with the most Director Power Bi job openings:
What are the most commonly searched types of Power Bi jobs? The most popular types of Power Bi jobs are:
What states have the most Director Power Bi jobs? States with the most job openings for Director Power Bi jobs include:
Infographic showing various Director Power Bi job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution.
Power BI Technical Lead

Power BI Technical Lead

VST Consulting, Inc

Phoenixville, PA • Hybrid

Other

This job post has expired today. Applications are no longer accepted.


Job description

Role:Power BI Technical Lead
Location :Oaks, PA Hybrid 
Contract 
W2/1099 
F2F Interview 
Skill:
Power BI Architecture & Technical Leadership    Enterprise BI Architecture    Designs scalable, enterprise-wide BI solutions. Lead end-to-end BI architecture and solution design
Technical Leadership Guides teams on best practices and architecture decisions
End to End Ownership Handles design → build → deploy → operate lifecycle
Platform Strategy Defines roadmap aligned with business needs.Align with Power BI & Fabric roadmap
Alignment with Data Platform Works with data engineering & architecture teams
Semantic Modeling & Data Modeling    Dimensional Modeling    Star schema, fact/dimension design.Design semantic models using star schema, relationships, and cardinality optimization
Relationship Optimization Efficient use of relationships, cardinality
Model Scalability Handles enterprise-scale datasets
Semantic Layer Design Business-friendly, reusable datasets
Data Warehouse Integration and ETL/ELT Concepts Integration with enterprise DW/Lakehouse platforms and Align transformation layers with reporting structure
Data Integrity Accurate modeling of business logic
Advanced DAX & Performance Optimization    DAX Expertise    Strong command of advanced DAX patterns.Advanced measures, calculated tables, and performance tuning
Financial/Analytical Calculations KPIs, trends, time intelligence
Context Mastery Deep understanding of filter/row context
Performance Tuning Optimizes slow measures and queries
Large Dataset Efficiency Works effectively with high-volume models
Power BI Capabilities    Aggregations    Effective use for performance optimization. Implement aggregations for large datasets
Incremental Refresh Handles large datasets efficiently
RLS (Row Level Security) Secure and scalable data access
Storage Modes Import, DirectQuery, Hybrid optimization for performance
Service & Administration Governance, workspace management, and platform administration
Composite/Hybrid Models Balances performance and flexibility
Dataflows Reusable transformation layers
Microsoft Fabric & Cloud BI Ecosystem    Fabric Components    Lakehouse, OneLake, Direct Lake
Cloud Architecture Designs cloud-native BI solutions
Integration with Data Platforms Works with Snowflake/Azure/etc.
Real-Time Analytics Knowledge of Fabric real-time intelligence
Innovation Awareness Keeps up with Fabric roadmap
SAP BusinessObjects to Power BI Migration    SAP BO Knowledge    WebI, Universes understanding
Migration Strategy Converts BO reports to Power BI models
Semantic Layer Mapping BO Universe → Power BI Dataset
Legacy Modernization Handles coexistence scenarios
Optimization Post-Migration Improves performance and usability
Visualization, UX & Insight Delivery    Advanced Visual Design    Uses effective, non-cluttered visuals. Build intuitive, visually compelling dashboards for business users
Dashboard Usability Intuitive navigation and filtering
Executive Reporting Clear, decision-oriented insights
Data Storytelling Converts data into actionable insights
Standardization Consistent design patterns across reports
Data Integration & APIs    REST API Integration    Connects and consumes external services
Embedded Analytics Integration with enterprise applications
Data Connectivity Works across multiple sources
Real-Time Data Near real-time integration patterns
Scalability Handles enterprise-grade integrations
Governance, Standards & Security    Governance Framework    Defines standards across BI assets
Naming Conventions Enforces structured and consistent naming
Performance Standards Creates guidelines for optimization
Security & Compliance RLS, data sensitivity, enterprise controls
Platform Administration Workspace, tenant-level governance
DevOps, Deployment & Governance    Deployment Pipelines    Manage Dev/Test/Prod pipelines
CI/CD Integration Align BI deployments with DevOps practices
Standards & Frameworks Define naming conventions, standards, and governance