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We are looking for a Power BI Data Analyst to join our team in Tampa, Florida. This role focuses on transforming complex business data into clear reporting, predictive insights, and practical decision-support tools that help teams make informed choices. The ideal candidate combines strong Power BI expertise with analytical depth, statistical knowledge, and the ability to communicate findings through effective visual storytelling.
Job Responsibility:
Build and deliver BI solutions that address reporting and analytical needs across multiple business areas using Microsoft-based technologies
Develop, publish, and support Power BI dashboards, reports, and underlying reporting environments across on-premises and cloud platforms
Create and maintain advanced queries, calculations, and reusable data functions to support reliable analysis and reporting
Examine data quality, validate performance, and ensure datasets align with sound testing practices and accurate business logic
Perform exploratory analysis and statistical modeling to uncover trends, patterns, and actionable insights from structured and unstructured data
Design clear visual presentations that translate analytical results into business-facing recommendations for stakeholders and leadership
Enhance existing models, scoring approaches, and analytical methods to improve portfolio segmentation and predict payment behavior more effectively
Develop pricing and liquidation models, including curve analysis and related business frameworks, to strengthen purchasing decisions based on historical account outcomes
Monitor processes through troubleshooting, quality checks, documentation updates, and ongoing improvements to analytical workflows and data methods
Partner with IT and cross-functional teams to design, implement, and maintain analytics tools from concept through deployment
Requirements:
Hands-on experience with business intelligence tools, including strong proficiency in Microsoft Power BI and DAX
Working knowledge of T-SQL and the ability to develop complex queries for reporting and analysis
Background in machine learning concepts and practical experience applying analytical or predictive models in academic or workplace settings
Solid foundation in statistics, probability, distributions, and data analysis techniques
Understanding of data structures, algorithms, and core computing principles relevant to large-scale data processing
Advanced skills in Microsoft Excel and PowerPoint for analysis support and executive-ready presentations
Ability to work independently, manage details carefully, and communicate insights clearly in both written and verbal formats