Care Pathway & Patient Engagement Analyst
About The Position
The Care Pathway & Patient Engagement Analyst serves CuraCor Solutions’ Affordability function and advances the organization’s “right care, right time, right place” strategy through analytics, consumer engagement insights, and care pathway optimization. The role develops analytic solutions intended to improve affordability, patient engagement, and healthcare outcomes, and contributes to the design, execution, and implementation of affordability initiatives. It partners with teams including Utilization Management, Care Management, Network, Pharmacy, Actuarial, Finance, Technology, and Clinical. The analyst examines healthcare data and member journeys to identify utilization patterns, care gaps, clinical variation, affordability opportunities, and intervention opportunities. The work includes developing predictive models and targeting approaches, evaluating programs and engagement strategies, measuring financial impact, and producing dashboards, reports, decision-support tools, and recommendations for business and operational stakeholders. The role also supports integrated healthcare data assets and explores practical applications of AI and related technologies. The position follows CuraCor’s Hybrid Flex or Remote Flex approach, depending on the nature of the work and distance from the Durham headquarters. Hybrid Flex employees work in the office at least two days per week; Remote Flex employees work virtually with a few in-office visits each year. Onsite expectations are discussed during the interview process.
Requirements
- Bachelor’s degree or advanced degree where required; in lieu of a degree, 7+ years of experience in a related field.
- 5+ years of experience in a related field.
- Analytical, intellectually curious, and execution-oriented approach to solving complex problems and translating data into actionable recommendations.
Nice To Haves
- Experience in healthcare analytics, health plan analytics, healthcare data science, clinical informatics, health economics, management consulting, actuarial analytics, or a related quantitative discipline.
- Experience with healthcare data such as medical and pharmacy claims, provider data, eligibility data, or care management data.
- Proficiency in SQL and familiarity with Python, R, or comparable analytical technologies.
- Experience conducting statistical analyses, developing analytical models, and working with large healthcare datasets.
- Experience developing analyses, dashboards, reports, or decision-support tools for operational decision-making and business strategy.
- Familiarity with episode-based analytics, care pathway analyses, clinical grouping methodologies, or healthcare journey analytics.
- Experience using modern business intelligence platforms, cloud-based analytics environments, and data visualization tools.
Responsibilities
- Conduct claims and other analyses focused on care pathways, patient engagement, utilization patterns, provider performance, affordability opportunities, and healthcare consumer behavior.
- Develop analytic frameworks to identify members who may benefit from interventions to improve care quality and engagement, reduce unnecessary utilization, and optimize site-of-care decisions.
- Develop predictive models, segmentation approaches, and targeting methodologies for member outreach, affordability initiatives, care navigation, and engagement strategies.
- Evaluate engagement strategies, outreach programs, and affordability initiatives using A/B testing, quasi-experimental methods, and other impact-evaluation techniques.
- Analyze longitudinal healthcare journeys to identify utilization patterns, care gaps, clinical variation, and intervention opportunities.
- Apply episode-of-care methodologies, pathway analytics, and healthcare grouping approaches to understand drivers of medical cost, utilization, quality, and patient experience.
- Partner with actuarial, finance, and affordability teams to quantify opportunities, intervention impact, and realized savings.
- Analyze patient risk, disease burden, social determinants of health, clinical complexity, benefit design, and engagement propensity to understand member behavior and intervention opportunities.
- Use provider, network, referral, access, and site-of-care analytics to identify opportunities for network strategy, provider enablement, and member navigation improvements.
- Apply geospatial analytics to assess how provider availability, travel burden, appointment access, and network characteristics influence utilization and consumer decisions.
- Partner with technology and data teams to support integrated healthcare data assets spanning claims, pharmacy, EHR, provider, member, care management, and operational data.
- Develop dashboards, reports, decision-support tools, and analytical products that help affordability teams identify and act on opportunities.
- Explore practical applications of AI, machine learning, natural language processing, and generative AI for pathway analytics, patient engagement, prioritization, and decision support.
- Translate analytical findings into clear, concise recommendations and presentations for business leaders and operational stakeholders.
- Share knowledge, support colleagues, and maintain high standards for analytical rigor and business impact.
Benefits
- Medical, dental, and vision coverage.
- Health and wellness programs.
- Parental leave and support.
- Adoption and surrogacy assistance.
- Career development programs.
- Tuition reimbursement for continued education.
- 401(k) match, including an annual company contribution.
- Annual incentive bonus, based on corporate goal achievement and individual performance.
- Paid Time Off (PTO).
- Work-life balance, flexibility, and autonomy.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
