Business Analytics/Data Analyst

We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a contract assignment in Kentucky. This contract position is ideal for someone who is detail oriented and has strong analytical experience, with the ability to transform raw information into meaningful business insights. The role focuses on interpreting data, improving reporting accuracy, and delivering actionable intelligence that supports operational and performance goals.

Responsibilities:
• Analyze large and varied datasets to identify trends, patterns, and opportunities that support business decisions
• Build and maintain reports, dashboards, and recurring analyses using Microsoft SQL, Excel, and business intelligence tools
• Clean, validate, and organize source data to improve reliability, consistency, and reporting quality
• Develop productivity and performance metrics that help teams measure outcomes and track progress against objectives
• Partner with business stakeholders to gather reporting needs and translate them into clear analytical deliverables
• Perform ad hoc analysis to answer operational questions and provide recommendations based on findings
• Monitor data quality issues, investigate discrepancies, and resolve reporting variances in a timely manner
• Document data definitions, reporting logic, and analytical processes to support transparency and repeatability• 5+ years of experience in business analytics, data analysis, or business intelligence roles
• Strong hands-on experience with Microsoft SQL for querying, extracting, and validating data
• Proficiency in Microsoft Excel, including advanced analysis, data organization, and reporting functions
• Demonstrated ability to work with business intelligence tools and present data in a clear, useful format
• Experience creating productivity metrics, performance reporting, and actionable business insights
• Solid understanding of data cleansing techniques and data quality best practices
• Ability to communicate analytical findings effectively to both technical and non-technical audiences