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# Data Analyst

- **Company:** Accentuate Staffing
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Analysis of Variance (ANOVA), Business Intelligence Development, Power BI, SQL Databases, Tableau (Software), Electronic Medical Records, Information Technology, Data Analytics
- **Published:** September 3, 2026
- **Apply:** https://www.accentuatestaffing.com/submit-resume/?job_id=30442

## About the Role

* Bachelor's in analytics, statistics, computer science, healthcare administration, or related.
 * Strong experience in data analytics, business intelligence, or a similar analytical role.
 * Hands-on experience with Power BI, Tableau, Excel, and SQL, including building dashboards and creating reports used by leadership teams and business stakeholders.
 * Experience reviewing operational and financial data and discussing the business impact.
 * Ability to take ownership of analysis, critically assess data, identify gaps, and partner with stakeholders to clarify metrics and insights for decision-making.
Experience working in healthcare environments is strongly preferred; exposure to radiology, imaging, EHR, RIS, PACS, or revenue cycle data is a plus.

## Description

* Build and maintain dashboards and reports that track clinical performance, operational efficiency, business development activity, and financial results using Power BI and Tableau.
 * Work directly with clinical leaders, operations teams, and executives to understand workflow, productivity, turnaround times, staffing levels, and capacity utilization.
 * Analyze referral, marketing, and market data to support growth and business decisions.
 * Partner with finance teams to support budgeting, forecasting, variance analysis, and scenario modeling tied to staffing, growth initiatives, and operational changes.
 * Translate data into clear explanations and summaries for executive and leadership audiences, highlighting trends, risks, and opportunities rather than just presenting metrics.
 * Ensure data accuracy and consistency by validating sources, reconciling discrepancies, and documenting definitions and reporting logic across systems.


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