aledade - Clinical Quality Performance Data Operations Analyst, Remote
Requirements
• Bachelor’s degree in Business Analytics, Data Science, Public Health, or a related quantitative field. • Candidates must possess the solid technical proficiency necessary to design, maintain, update, and deploy standard, high-impact visualizations working in cross-functional teams. • Demonstrated experience translating complex data sets into compelling visualizations by leveraging understanding of relational database architecture, and wireframing expertise, coupled with strong design aesthetic. • Strong proficiency in Microsoft PPT and XLS • Preferred experience strengthening data governance in complex organizations. • 4+ years of progressive, project management experience in population health, healthcare analytics, performance improvement, or closely related fields. • Ability to translate abstract quality & population health goals into concrete analytical frameworks and technical roadmaps. • Strong analytical skills to identify organizational needs, define KPIs, and monitor and evaluate quality metrics and dashboards. • Demonstrated experience leading programs or projects, including setting direction, building consensus, managing risk, and communicating progress. • Proven ability to manage and prioritize data products that offer the highest value to the organization. • Proficiency with executive-level reporting; ability to present complex population health gaps and efficacy data to a diverse group of stakeholders. • Demonstrated alignment with equity‑centered, community‑informed approaches to population health and performance improvement. • Sitting for prolonged periods of time. • Extensive use of computers and keyboard. • Occasional walking and lifting may be required.
Responsibilities
• Data Strategy, Analytics, and BI: Execute the Quality Performance Improvement strategy by building, maintaining, and documenting complex, scalable datasets for Quality analytics – including driving day-to-day decision making through excel analyses and trackers built using complex and potentially flawed datasets. • Performance Improvement and Project Management: with direction and support from the VP of Quality and the quality team, project manage initiatives to strengthen data governance and the overall data ecosystem from problem definition through planning, monitoring, and sustainment. • Field User Experience: Serve as the first line of defense for the end-user, troubleshooting digital friction, documenting recurring pain points and strengthening the feedback loop. Establish systems approach for proactively eliciting user satisfaction feedback and improving prioritization with data teams. • Translating action to impact: Designing and maintaining systems to monitor interventions associated with improved quality of care to continually inform allocation of scarce resources for the greatest return on investment. • Stakeholder & Change Management: Build strong, cross-functional relationships and ensure alignment on priorities, requirements, and timelines for Quality performance improvement initiatives.
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