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Montefiore·Montefiore, Elmsford · Elmsford, NY

Value Measurement Analyst

Healthcare AdministrationFull timeMon–Fri · Days
✓Requirements
Certifications
✓Current Epic Cogito certification required.
Epic Clarity certification strongly preferred.
Education
✓Bachelor’s degree in Business Analytics, Computer Science, Economics, a related field, or equivalent experience
Qualifications
✓Minimum 3 years of experience in healthcare analytics, product analytics or digital health analytics
✓Demonstrated experience with Epic data and reporting environments and Clarity and/or Caboodle required
✓Must be proficient in SQL and able to run complex queries
✓Highly proficient in Excel and using formulas to run sophisticated analysis
✓Experience working in Agile/Scrum environments, supporting Scrum teams, and using Kanban boards, backlogs, and sprint planning.
✓Proven ability to understand business objectives and translate those into defined metrics and visualizations
✓Comfort with ambiguity and proactively defining metrics
✓Demonstrated ability to break-down, evaluate, and prioritize complex problems into their component data parts
✓Quantitative aptitude and ability to identify value drivers for digital efforts and associated KPIs
✓Strong written and verbal communication skills, with the ability to visualize and explain data to non-technical audiences
✓Strong emotional intelligence, empathy, and relationship building
✓Strong communication and collaboration skills across stakeholders and functions, with some experience presenting to VP level / senior management
Pay for this position
Employer-posted
$132k – $165k/yr
Apply to Montefiore ↗
Questions about pay or the unit? Ask a Waypoint recruiter.
✓You’ll need
Certifications
✓Current Epic Cogito certification required.
Epic Clarity certification strongly preferred.
Education
✓Bachelor’s degree in Business Analytics, Computer Science, Economics, a related field, or equivalent experience
Qualifications
✓Minimum 3 years of experience in healthcare analytics, product analytics or digital health analytics
✓Demonstrated experience with Epic data and reporting environments and Clarity and/or Caboodle required
✓Must be proficient in SQL and able to run complex queries
✓Highly proficient in Excel and using formulas to run sophisticated analysis
✓Experience working in Agile/Scrum environments, supporting Scrum teams, and using Kanban boards, backlogs, and sprint planning.
✓Proven ability to understand business objectives and translate those into defined metrics and visualizations
✓Comfort with ambiguity and proactively defining metrics
✓Demonstrated ability to break-down, evaluate, and prioritize complex problems into their component data parts
✓Quantitative aptitude and ability to identify value drivers for digital efforts and associated KPIs
✓Strong written and verbal communication skills, with the ability to visualize and explain data to non-technical audiences
✓Strong emotional intelligence, empathy, and relationship building
✓Strong communication and collaboration skills across stakeholders and functions, with some experience presenting to VP level / senior management

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About the role

Collaborate with business and Digital teams to define the main problems to solve and the insights and metrics that inform decision-making

What you’ll do
Collaborate with business andCollaborate with business and Digital teams to define the main problems to solve and the insights and metrics that inform decision-making
Develop deep understanding ofDevelop deep understanding of impacted processes and the insights that inform decisions
Identify, design, develop, conveyIdentify, design, develop, convey, and maintain data visualizations, primarily with Excel, PowerPoint, Epic Slicer Dicer, and Power BI
Hands-on experience developing ROIHands-on experience developing ROI, value-impact, or business-case analyses, including translating operational or digital performance improvements into measurable financial and business outcomes
Successfully navigate data environmentSuccessfully navigate data environment and work with Epic and non-Epic data sets