Senior Business Process Analyst
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Job Description
Senior Business Process Analyst delivering quantitative analysis for EHRM modernization in a federal consulting role. Leading statistical initiatives and operationalizing data-driven decision-making in healthcare reform.
Responsibilities:
- Lead independent, authoritative analysis of current and future-state EHRM business processes, identifying inefficiencies, bottlenecks, and leverage points using quantitative methods.
- Design, implement, and maintain statistically valid outcome measurement frameworks that quantify program impact (e.g., ROI, cycle time reduction, error rates, adoption velocity, clinical and operational KPIs).
- Translate complex program outcomes from the CPMO/OCI team into clear, math-based metrics that are traceable to organizational strategic objectives.
- Apply advanced statistical techniques (regression, hypothesis testing, confidence intervals, predictive modeling, etc.) to validate assumptions, forecast outcomes, and measure program performance with mathematical rigor.
- Develop and own program-level dashboards and scorecards that provide real-time, tangible visibility into progress against targets.
- Conduct deep-dive root-cause analyses using data-driven methods to support rapid decision-making cycles.
- Utilize project management tools (boards, epics, metrics, custom fields, reports, and dashboards) to capture, track, and report on all process and outcome data.
- Drive Agile and Lean Portfolio Management (LPM) practices to ensure backlog prioritization, capacity planning, and value delivery are grounded in quantitative evidence.
- Partner with technical and clinical teams, working closely with and reporting to our Principle Agilist to embed metrics directly into project management workflows and program ceremonies.
- Apply strong program management disciplines to ensure analytical deliverables are on-time, on-budget, and aligned with EHRM governance requirements.
- Facilitate cross-functional workshops and decision forums, presenting quantitative findings with authority to senior leadership.
- Continuously improve the program’s measurement maturity by identifying and implementing new data sources and analytic methods.
- Serve as the trusted advisor to the CPMO/OCI team and EHRM program leadership. Translate statistical insights into clear business narratives and visuals that influence decisions, resource allocation, and policy changes.
Requirements:
- Bachelor’s degree in Business, Statistics, Operations Research, Industrial Engineering, Health Informatics, or related quantitative field (Master’s or MBA strongly preferred).
- Minimum 8 years of progressive experience as a Business Analyst or Process Analyst, with at least 4 years in a senior/lead capacity focused on quantitative process and outcomes analysis.
- Demonstrated expertise in statistical analysis and outcomes measurement (proficiency with R, Python, SQL, or advanced Excel/Power BI/Tableau required).
- Proven ability to define and operationalize tangible, mathematically sound metrics that drive executive decisions.
- Mandatory: Expert-level hands-on experience with Jira (administration, advanced reporting, metrics configuration, and integration with Agile/LPM frameworks).
- Strong project/program management skills with a track record of delivering complex, data-driven initiatives on time and within scope.
- Excellent verbal and written communication skills, including the ability to present complex quantitative analysis to non-technical audiences.
Benefits:
- Health/medical background or direct experience supporting Electronic Health Record (EHR/EHRM) programs, clinical operations, or healthcare transformation initiatives.
- Deep, practical understanding of EHRM systems, workflows, and the unique challenges of large-scale health-record modernization.
- Formal training or certification in Agile (SAFe, Scrum) and Lean Portfolio Management (LPM).
- Experience working within federal government or large-scale enterprise environments (VA, DoD, or similar).
- Familiarity with healthcare-specific metrics (e.g., clinical quality measures, patient safety indicators, provider efficiency, interoperability KPIs).
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