> Markdown version of [/jobs/ext/3996035-senior-analytics-insights-associate](https://www.wearedevelopers.com/jobs/ext/3996035-senior-analytics-insights-associate). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analytics & Insights Associate - **Company:** Vizient, Inc. - **Location:** Englewood, CO, United States - **Experience:** Expert - **Salary:** $88,900.0 - $155,500.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Analysis, Health Informatics, Data Visualization, Decision Support Systems, Python (Programming Language), Microsoft PowerPoint, Power BI, SAS (Software), SQL Databases, Tableau (Software), Data Management, Tools for Reporting, Databricks - **Published:** October 28, 2026 - **Apply:** https://diversityjobs.com/career/18761636/Senior-Analytics-Insights-Associate-Colorado-Centennial ## About the Role * Relevant degree preferred. * 5 or more years of relevant experience required. * Experience in healthcare analytics, decision support, consulting, or a related analytical discipline, including analysis of large, complex, and disparate healthcare datasets. * Experience developing performance measures, benchmarking methodologies, analytical models, and reporting solutions preferred. * Advanced proficiency in SQL, Microsoft Excel, and Microsoft PowerPoint required. * Strong analytical, quantitative, critical-thinking, and problem-solving skills with the ability to translate complex findings into clear, stakeholder-focused recommendations. * Excellent written and verbal communication skills, including experience presenting analytical insights to technical and business audiences. * Experience with Databricks, Python, SAS, and business intelligence or data visualization tools such as Power BI or Tableau preferred. * Experience automating analytical workflows and reporting processes, and working with healthcare data sources including claims, EHR, operational, quality, utilization, and financial data preferred. * Understanding of healthcare financial performance, including budget performance, service line economics, productivity metrics, reimbursement, margin analysis, and the relationships among volume, quality, access, workforce, and financial outcomes within healthcare organizations. ## Description In this role, you will leverage advanced analytics and healthcare data to generate actionable insights that drive strategic decision-making, performance improvement, and continuum of care initiatives. You will collaborate with internal and external stakeholders to analyze complex healthcare, operational, clinical, utilization, and financial data; develop performance measurement and benchmarking methodologies; and deliver recommendations that support client objectives and organizational growth., * Analyze large, complex, and disparate healthcare datasets to identify trends, opportunities, and actionable insights that support strategic and operational decision-making. * Develop, refine, and validate performance measures, benchmarking methodologies, and analytical models that support healthcare quality, operational effectiveness, and financial performance. * Design and deliver reports, dashboards, presentations, visualizations, and stakeholder-ready narratives that communicate analytical findings and recommendations. * Validate, reconcile, and monitor data across multiple sources to ensure data accuracy, integrity, and consistency. * Execute custom analyses that address client needs, support strategic initiatives, and inform business decisions. * Evaluate clinical, operational, utilization, workforce, and financial data to identify opportunities for performance improvement, cost optimization, and organizational growth. * Synthesize financial indicators, reimbursement data, productivity metrics, service line economics, budget performance, and operational measures into actionable recommendations. * Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions that support organizational objectives. * Automate and standardize analytical workflows, reporting processes, and data management practices to improve efficiency, scalability, and continuous improvement.