2 дня назад
Performance Enablement Lead – Part D Risk Adjustment (Healthcare Analytics)
117 600 - 161 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Performance Enablement Lead – Part D Risk Adjustment (Healthcare Analytics): Leading business intelligence, KPI reporting, and performance measurement for Part D risk adjustment programs with an accent on business rules, metric logic, dashboards, and curated healthcare datasets. Focus on designing scalable reporting solutions, automating recurring analytics, validating BI outputs, and communicating complex data insights to senior leadership.
Location: Remote nationwide within the United States; occasional travel to offices for training or meetings may be required.
Salary: $117,600–$161,700 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance and healthcare services to Medicare, Medicaid, families, individuals, military personnel, and communities.
What you will do
- Lead business intelligence, KPI reporting, and performance measurement for Part D risk adjustment programs.
- Define business rules, metric logic, reporting requirements, and analytic specifications.
- Translate business needs into recurring dashboards, reports, and curated analytic datasets.
- Partner with HTA/IT and enterprise data teams on scalable reporting and analytics solutions.
- Serve as the subject matter expert for data visualization and BI best practices.
- Support automation, data quality controls, recurring performance measurement, and broader use of BI outputs.
Requirements
- Bachelor’s degree and 8+ years of relevant experience in business intelligence or analytics.
- 3+ years of leadership experience in business intelligence or analytics projects.
- Experience with Databricks or similar cloud analytics environments and healthcare datasets.
- Advanced SQL and data-wrangling skills, including experience defining business logic, metrics, and curated reporting datasets.
- Enterprise reporting experience with Power BI and the ability to translate business requirements into recurring analytic solutions.
- Ability to communicate complex data concepts to senior and executive leadership.
Nice to have
- Master’s degree or an advanced quantitative degree in mathematics, economics, finance, statistics, computer science, engineering, or a related field.
- Python or PySpark experience for analysis, automation, or data preparation.
- Familiarity with healthcare risk adjustment, medical and prescription claims, membership, or provider analytics.
- Experience operationalizing automated data workflows, data governance, controls, data mining, or predictive modeling.
Culture & Benefits
- Remote work with a dedicated, interruption-free workspace required to protect member PHI and HIPAA information.
- Home internet must provide at least 25 Mbps download and 10 Mbps upload speeds.
- Medical, dental, and vision benefits, 401(k), paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
- Telephone equipment is provided for home or hybrid home/office employees.
Hiring process
- Interviewing technology from HireVue may be used during the hiring process.
- Applicants may be asked to provide their Social Security Number through ’s secure application website.
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