3 to 5+ years of experience in business intelligence or analytics with a focus on Power BI.
Advanced proficiency in Power BI for developing reports, dashboards, and semantic models.
Strong analytical skills to explore, validate, and interpret data to uncover trends.
Solid SQL experience involving writing and troubleshooting queries for reporting.
Experience in designing scalable data models and familiarity with self-service analytics.
Responsibilities
Design, build, and maintain Power BI semantic models for reliable reporting.
Perform hands-on data analysis to validate data quality and provide insights.
Develop Power BI reports and dashboards to communicate business outcomes.
Translate business requirements into DAX measures, SQL queries, and visualizations.
Lead consolidation of reports into standardized Power BI solutions.
Ensure consistency in metrics and calculations across all models and reports.
Partner with IT and data teams to align on data sourcing and quality.
Benefits
Hybrid work schedule (3 days in office, 2 remote)
Opportunity for professional development in a governed analytics environment.
Full Job Description
Job Description Role: Power BI Analyst (Sales Operations)
Location: Deerfield Beach, FL (Hybrid 3/2) Duration: 12+ Months
POSITION OVERVIEW
We are seeking a hands-on Business Intelligence Analystwith deep experience building Power BI semantic models and reports totransform complex data into clear, trusted insights.
This role is highly execution-oriented and requiresstrong analytical skills, comfort working directly with data, and theability to translate business questions into well-designed models,measures, and visualizations.
The ideal candidate will own Power BI solutionsend-to-end spanning data analysis, semantic modeling, DAX, and reportdevelopment while partnering closely with business stakeholders andIT/data teams within a governed analytics environment.
QUALIFICATIONS
3 to 5+ years of hands-on experience in businessintelligence, analytics, or reporting roles with a strong focus on PowerBI development.
Advanced proficiency in Power BI including building andmaintaining Power BI semantic models, developing production-qualityreports and dashboards, and writing and optimizing DAX measures foranalytical use cases.
Strong data analysis skills with the ability toexplore, validate, and interpret data; identify trends, anomalies, androot causes; and translate business questions into analytical logic andmetrics.
Solid SQL experience including writing, modifying, andtroubleshooting queries used for reporting and modeling.
Experience designing clean, scalable data modelsincluding star schemas, relationships, and reusable metrics.
Familiarity with governed self-service analytics andCitizen IT models in Power BI (datasets, certified/promoted content,shared measures).
Strong understanding of business operations, KPIs, andperformance metrics with the ability to challenge assumptions using data.
Experience working cross-functionally with IT, dataengineering, and business teams.
Excellent communication skills with the ability toexplain analytical concepts and data findings to non-technicalstakeholders.
Ability to work independently, take ownership of BIassets, and drive solutions from concept through delivery.
Comfort leading in-person working sessions andcollaborating directly with business leaders.
KEY RESPONSIBILITIES
Design, build, and maintain Power BI semantic modelsthat support consistent, reliable reporting and analysis across theorganization.
Perform hands-on data analysis to understand businessdrivers, validate data quality, and uncover actionable insights.
Develop Power BI reports and dashboards that clearlycommunicate trends, performance, and key business outcomes.
Translate business questions and requirements intoanalytical logic, DAX measures, SQL queries, and intuitive Power BIvisualizations.
Lead the consolidation and rationalization of existingreports into standardized, scalable Power BI solutions.
Ensure semantic consistency across models and reportsincluding metric definitions, calculation logic, filters, and namingconventions.
Partner with IT and data engineering teams tounderstand source data, address data gaps or quality issues, and align onmodeling and refresh strategies.
Support and guide business users in a self-serviceanalytics environment, enabling them to confidently consume and extendtrusted datasets.
Conduct in-person working sessions to gatherrequirements, review data findings, and iterate on reports withstakeholders.
Continuously improve Power BI assets by identifyingopportunities for optimization, simplification, and automation.
