Power Business Intelligence Analyst

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URGENTLY LOOKING FOR BUSINESS INTELLIGENCE ANALYST || Onsite – Deerfield Beach , FL (Locals Only) || / GC

🧠 Job Title: Business Intelligence Analyst

📍 Location: Onsite – Deerfield Beach, FL (LOCAL ONLY)

⏳ Duration: Long Term

🛂 Visa: USC

Mode of Interview (MOI):

One internal technical interview, followed by three client interviews (audio/video via Microsoft Teams). On-site interview may be requested.

Supplier Notes:

Please share only local candidates based in Miami, FL who are willing to work onsite, WE ONLY CONSIDER US EXPERIENCE.

Required:

• Please share candidate's LinkedIn profile
• Please share Updated resume
• Please share DL copy if possible
• Bachelor’s degree (minimum)
  
  

Overview

We are seeking a hands-on Business Intelligence Analyst with deep experience building Power BI semantic models and reports to transform complex data into clear, trusted insights. This role is highly execution oriented and requires strong analytical skills, comfort working directly with data, and the ability to translate business questions into well designed models, measures, and visualizations.

The ideal candidate will own Power BI solutions end to end—spanning data analysis, semantic modeling, DAX, and report development—while partnering closely with business stakeholders and IT/data teams within a governed analytics environment.

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Qualifications

• 5 years of hands-on experience in business intelligence, analytics, or reporting roles with a strong focus on Power BI development
• Advanced proficiency in Power BI, including:
• Building and maintaining Power BI semantic models
• Developing production quality reports and dashboards
• Writing and optimizing DAX measures for analytical use cases
• Strong data analysis skills, with the ability to:
• Explore, validate, and interpret data
• Identify trends, anomalies, and root causes
• Translate business questions into analytical logic and metrics
• Solid SQL experience, including writing, modifying, and troubleshooting queries used for reporting and modeling
• Experience designing clean, scalable data models, including star schemas, relationships, and reusable metrics
• Familiarity with governed self service analytics and Citizen IT models in Power BI (datasets, certified/promoted content, shared measures)
• Strong understanding of business operations, KPIs, and performance metrics, with the ability to challenge assumptions using data
• Experience working cross functionally with IT, data engineering, and business teams
• Excellent communication skills, with the ability to explain analytical concepts and data findings to non-technical stakeholders
• Ability to work independently, take ownership of BI assets, and drive solutions from concept through delivery
• Comfort leading in person working sessions and collaborating directly with business leaders
  
  

Key Responsibilities

• Design, build, and maintain Power BI semantic models that support consistent, reliable reporting and analysis across the organization
• Perform hands on data analysis to understand business drivers, validate data quality, and uncover actionable insights
• Develop Power BI reports and dashboards that clearly communicate trends, performance, and key business outcomes
• Translate business questions and requirements into:
• Analytical logic
• DAX measures
• SQL queries
• Intuitive Power BI visualizations
• Lead the consolidation and rationalization of existing reports into standardized, scalable Power BI solutions
• Ensure semantic consistency across models and reports, including metric definitions, calculation logic, filters, and naming conventions
• Partner with IT and data engineering teams to:
• Understand source data
• Address data gaps or quality issues
• Align on modeling and refresh strategies
• Support and guide business users in a self service analytics environment, enabling them to confidently consume and extend trusted datasets
• Conduct in person working sessions to gather requirements, review data findings, and iterate on reports with stakeholders
• Continuously improve Power BI assets by identifying opportunities for optimization, simplification, and automation
  
  

Regards,

Balraj Singh