Value Analysis Analyst

Vizient•Worcester, MA

1d•$68,500 - $116,300•Hybrid

About The Position

The Value Analysis Analyst supports the Value Analysis program by analyzing clinical, operational, financial, and supply chain data to identify opportunities for product standardization, utilization management, and cost optimization. The role collaborates with clinical, supply chain, and finance teams on product evaluations, technology assessments, and implementation of approved initiatives. It uses data-driven insights, evidence-based research, and emerging technologies to support decision-making, operational efficiency, patient safety, and quality outcomes. The position follows a hybrid model, with three days per week in the office, and requires willingness to travel. The estimated salary range is $68,500 to $116,300, and the position is incentive eligible. The employer describes a comprehensive benefits plan and provides a link to further benefits information.

Requirements

At least 2 years of relevant experience.
Experience analyzing and interpreting clinical, financial, operational, utilization, or supply chain data within healthcare or related industries.
Advanced proficiency in Microsoft Excel and Microsoft Office applications, including experience developing reports, dashboards, and data visualizations.
Strong analytical, critical-thinking, and problem-solving skills, with attention to detail and data accuracy.
Excellent written and verbal communication, collaboration, and organizational skills; ability to manage multiple priorities and support cross-functional initiatives.
Experience using AI-enabled tools to improve productivity and solve business problems, and critically evaluate AI-generated content for accuracy and appropriate use.
Willingness to travel.

Nice To Haves

Relevant degree preferred.
Experience with enterprise resource planning (ERP), materials management information systems (MMIS), electronic medical records (EMR), or healthcare benchmarking and reporting platforms.
Knowledge of healthcare value analysis, supply chain operations, product evaluations, and evidence-based decision-making.
Experience with Lean methodologies, continuous improvement initiatives, or project management practices.

Responsibilities

Analyze clinical, financial, utilization, quality, and supply chain data to identify opportunities for cost savings, product standardization, and operational improvement.
Develop dashboards, reports, scorecards, and analyses to support Value Analysis initiatives, performance monitoring, and strategic decision-making.
Track and report cost savings, product utilization trends, implementation progress, and initiative outcomes; maintain accurate databases and documentation.
Support product evaluations, technology assessments, new product reviews, supply disruptions, and request for proposal (RFP) activities.
Manage and help source solutions for back orders, product discontinuations, and product recalls, coordinating with supply chain, suppliers, and internal stakeholders to support continuity of supply and timely communication.
Conduct evidence-based research using clinical literature, benchmarking information, and market data to inform product and technology recommendations.
Prepare presentations, reports, and supporting materials for Value Analysis committees, supply assurance meetings, and cross-functional project teams.
Collaborate with clinical, supply chain, finance, and operational teams to coordinate information requests, evaluate opportunities, and implement approved product conversions and standardization initiatives.
Identify opportunities to streamline reporting, improve workflows, strengthen data quality, and enhance operational efficiency while supporting organizational policies and governance processes.
Monitor healthcare supply chain trends, emerging technologies, industry best practices, and continuous improvement opportunities to support departmental initiatives.
Use AI-enabled tools to enhance data analysis, research, reporting, documentation, and communication, critically evaluating outputs for accuracy, relevance, and appropriate business use.