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2 дня назад

Lead Advanced Analytics (Healthcare)

143 800 - 215 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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