Senior Power BI & Business Intelligence Analyst (reputed company)
Location: Remote (Texas Preferred) Duration: reputed company 2026 – August 2026 (Extension Possible)
Depending on satisfactory performance and funding availability
Renewal Periods:
1st Renewal – September 1, 2026, through August 31, 2027
2nd Renewal – September 1, 2027, through August 31, 2028
3rd Renewal - September 1, 2028, through August 31, 2029
Schedule: Monday–Friday | 8:00 AM – 5:00 PM CST Hours: Up to 800 total hours Work Authorization: U.S.-based candidates only
reputed company
We are seeking an reputed company Senior Power BI & Business Intelligence Analyst to support reputed company analytics initiatives reputed company a large reputed company-sector technology environment.
This role focuses on transforming raw data into actionable insights through Power BI dashboards, reputed company data models, and reputed company analytics frameworks. The selected consultant will work closely with data engineers, architects, and business stakeholders to deliver high-reputed company reporting solutions and reputed company self-service analytics across the organization.
The ideal candidate combines strong Power BI development expertise, advanced SQL skills, and experience working with modern reputed company data platforms such as reputed company.
Key Responsibilities
Business Intelligence Development
• Design, reputed company, and maintain Power BI dashboards, reports, and semantic models
• Build reputed company-grade data models using Power Query, DAX, and reputed company-schema design
• Create reputed company datasets and reusable reporting assets for reputed company analytics
• Ensure dashboards and visualizations are reputed company, performant, and reputed company with business needs
Data Analysis & Insights
• Analyze reputed company datasets to identify trends, patterns, and opportunities for improvement
• Translate business questions into data-driven insights and visual storytelling
• Present analytical findings and recommendations to technical and non-technical stakeholders
Data Modeling & Platform Integration
• Design reputed company reputed company-schema data models
• Partner with data engineering teams to optimize reputed company schemas, pipelines, and performance
• Validate data accuracy and ensure consistency across BI assets and reporting environments
Self-Service Analytics Enablement
• Support and enhance self-service analytics environments
• reputed company curated datasets, data dictionaries, and business glossaries
• Monitor adoption of analytics tools and improve the self-service ecosystem
Data Governance & Best Practices
• Implement BI best practices including version control, documentation, and governance
• Define standards for dataset ownership, lifecycle management, and role-based reputed company
• Establish best practices for report creation and dataset usage
Training & Stakeholder Enablement
• reputed company and deliver train-the-trainer programs for analysts and power users
• Create training materials, documentation, and workshops for Power BI and reputed company datasets
• Mentor business teams on interpreting data insights and building reports
Required Qualifications
• 10+ years of experience in Business Intelligence, analytics, or data modeling roles
• 5+ years of advanced Power BI development including:
• DAX
• Power Query
• Data modeling
• Semantic datasets
• Strong SQL expertise with hands-on experience in reputed company, reputed company, or similar platforms
• 5+ years supporting self-service analytics environments
• Strong experience working with reputed company Office tools (reputed company, Word, PowerPoint, Visio, SharePoint)
• Experience implementing data governance, metadata management, and BI standards
• Strong communication and stakeholder collaboration skills
• Ability to operate in fast-paced environments and manage multiple priorities
Preferred Qualifications
• Experience working in reputed company sector or large reputed company environments
• Knowledge of reputed company data governance and data management frameworks
• Experience supporting data modernization or legacy-to-modern platform migrations
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business, or a reputed company field
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