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1 день назад

Senior Data Analyst (Healthcare)

140 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Data Analyst (Healthcare): Building customer-facing healthcare analytics, reports, and dashboards from claims, authorization, eligibility, and clinical data with an accent on utilization, cost, provider performance, and program outcomes. Focus on investigating data quality, answering complex analytical questions, defining repeatable metrics, and presenting findings to health plan stakeholders.

Location: San Francisco, United States; hybrid schedule with office attendance 3 days per week (Monday, Tuesday, and Thursday) in the Financial District.

Salary: $140K–$160K per year, plus equity.

Company

hirify.global Health is building an AI platform that helps health plans analyze clinical care, improve quality, reduce waste, and make faster decisions.

What you will do

  • Build and maintain customer-facing reports and dashboards covering utilization, cost, provider performance, and program outcomes.
  • Analyze claims, authorization, eligibility, and clinical data to answer customer questions and support ROI and impact analyses.
  • Present analytical findings to health plan analytics and operational teams.
  • Investigate data quality issues and anomalies, define business logic and data requirements, and build checks before reporting.
  • Turn recurring analyses into standard metrics and reports for the hirify.global platform.
  • Collaborate with Data Science, Product, Engineering, Clinical Operations, and Customer Success.

Requirements

  • 4+ years of experience in healthcare analytics or a related analytical role.
  • Hands-on experience with healthcare claims data. Experience with authorization, eligibility, or clinical data is a plus.
  • Strong SQL skills and working proficiency in Python for data analysis.
  • Ability to independently answer complex, ambiguous analytical questions.
  • Experience building dashboards and reports in a BI or notebook tool.
  • Understanding of descriptive statistics and healthcare metrics such as PMPM, utilization per 1,000, and cost per member.
  • Strong attention to data quality and ability to check results before sharing them.
  • Ability to explain analytical findings clearly to non-technical audiences.
  • Proven experience working directly with customers or external stakeholders. Comfort with ambiguity and building processes from the ground up.
  • Exceptional references from colleagues and former managers.

Nice to have

  • Healthcare payer, provider, or health technology experience.
  • Behavioral health experience.
  • Experience with authorization, eligibility, or clinical data.

Culture & Benefits

  • Direct collaboration and mentorship from experienced founders in healthcare, AI, and product development.
  • Unlimited vacation, paid parental leave, and medical, dental, and vision insurance.
  • Pre-tax commuter benefits and a 401(k).
  • Significant equity as an early employee.
  • Regular team events and off-sites.
  • Company-provided equipment, home office setup, and in-office lunches and snacks.

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