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# Business Intelligence Analyst

- **Company:** T.J. JERGER MGA, LLC
- **Location:** Pinellas Park, FL, United States
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Business Process Modeling, Information Systems, Computer Programming, Databases, Data Files, Data Integrity, Data Visualization, Data Warehousing, Database Queries, Database Storage Structures, Document-Oriented Databases, Excel Formulas, R (Programming Language), Python (Programming Language), Pivot Tables, Power BI, SQL Databases, Tableau (Software), Data Processing, Scripting, Information Technology, Data Analytics, Domo
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=700f7ed32e2e5449

## About the Role

The Ideal Candidate will possess:

 * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Administration, or a related field; or equivalent combination of education and experience.
 * Advanced proficiency in SQL and database querying.
 * Experience utilizing Python, R, or similar scripting languages for data analysis and automation.
 * Advanced Microsoft Excel skills, including complex formulas, pivot tables, lookups, data manipulation, and reporting automation.
 * Experience developing dashboards and data visualizations using Power BI, Tableau, Domo or similar BI tools.
 * Experience working with large, complex datasets from multiple sources.
 * Strong analytical and critical-thinking skills with the ability to transform complex data into actionable business insights.
 * Knowledge of data modeling, data warehousing concepts, and database structures.
 * Ability to identify trends, patterns, anomalies, and opportunities within large datasets.
 * Excellent written and verbal communication skills with the ability to present technical information to both technical and non-technical audiences.
 * Strong problem-solving and troubleshooting abilities.
 * Resourceful and innovative in diagnosing and resolving technical and business challenges.
 * Ability to manage multiple priorities and projects while maintaining attention to detail and accuracy.
 * Strong collaboration skills with the ability to build effective relationships across departments and organizational levels, * Ability to sit for extended periods while working at a desk or computer.
 * Ability to stand, walk, and move throughout the office as needed for meetings and collaboration.
 * Constantly operates a computer, keyboard, mouse, and other office technology.
 * Ability to communicate verbally and in writing with colleagues, clients, and leadership.
 * Ability to occasionally lift or move light office materials (e.g., files, binders, laptops) up to 15 pounds.

## Description

* Implement data standards and best practices to ensure consistency, accuracy, and reliability across reporting and analytics processes
 * Develop and deploy automation solutions to extract, transform, synthesize, validate, and integrate data from multiple sources
 * Monitor data quality and integrity, proactively identifying and resolving data discrepancies, system issues, and database-related concerns
 * Analyze complex datasets using statistical techniques to identify trends, patterns, correlations, and business opportunities.
 * Utilize programming and analytical tools such as Python, R, SQL, Excel, Power BI, Domo and business intelligence platforms to design, develop, maintain and enhance reports, dashboards, visualizations, and data files of varying complexity that provide actionable insights to stakeholders
 * Test and validate new or modified reports, datasets, dashboards, and analytical solutions to ensure accuracy, functionality, and data integrity
 * Collaborate with business leaders, and stakeholders to gather requirements, define objectives, and translate business needs into technical solutions
 * Document data processes, reporting methodologies, business rules, and technical specifications.
 * Recommend and implement process improvements that enhance reporting capabilities, operational efficiency, and data governance practices
 * Leverage Artificial Intelligence and innovative technologies to enhance efficiency, streamline processes, and improve overall productivity