Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$144к-216к/год
$120к$150кмедиана$180к
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Чётко описанная ведущая роль в аналитике у крупной компании с содержательной работой с медицинскими данными и хорошим пакетом льгот; обязательная работа из офиса пять дней в неделю и отсутствие релокации сужают круг доступных вариантов.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Advanced Analytics (Healthcare): Analyzing healthcare, employee benefits, and health plan data with an accent on predictive modeling, advanced statistics, and big data platforms. Focus on building and validating regression and time-series models, developing decision-support dashboards, and translating claims and benefits data into strategic recommendations for plan design and cost management.
Location: Onsite in downtown Dallas, Texas, at hirify.global headquarters; office presence is required a minimum of 5 days per week. Relocation is not offered.
Salary: $143,800.00–$215,800.00 USD annually.
Company
hirify.global is a telecommunications corporation providing connectivity, mobility, internet, and related services.
What you will do
Gather, analyze, and interpret internal, healthcare claims, program engagement, and employee benefits data.
Apply advanced statistical methods and traditional modeling techniques to quantify variances and support decisions.
Build business cases and complex models using Tableau, Power BI AI Insights, Databricks, and Snowflake.
Develop and validate predictive models, including linear regression, logistic regression, and time-series models.
Create dashboards, reports, and charts that explain data patterns and relationships.
Advise health plan, operational, strategic, and senior leadership stakeholders on recommendations and business direction.
Requirements
5+ years of related experience in healthcare, employee benefits, and/or health insurance.
Deep expertise in healthcare data, including claims, eligibility, provider, and/or clinical datasets.
Experience with Snowflake, Databricks, healthcare data warehouses, and data infrastructure.
Ability to translate data into actionable insights for plan design, operations, and cost management.
Advanced statistical and predictive modeling experience, including linear regression, logistic regression, and time-series analysis.
Experience developing business cases, complex models, dashboards, reports, and visualizations.
Ability to lead significant projects with strategic autonomy and influence executive decisions.
Ability to mentor less experienced staff and collaborate with senior leadership.
A bachelor’s degree in a quantitative field such as Data Science, Mathematics, Statistics, Engineering, or Physics is desired.
Certification is required in some areas.
Culture & Benefits
Regular full-time schedule of 40 hours per week.
Medical, dental, and vision coverage; disability, life, and accidental death insurance.
401(k), tuition reimbursement, paid time off, holidays, paid parental and caregiver leave, and adoption reimbursement.
Employee assistance, wellness, supplemental benefit, and employee discount programs.
Equal employment opportunity and reasonable accommodation for qualified individuals with disabilities.
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