Назад
Company hidden
2 дня назад

Senior Analytics & Insights Associate (Healthcare Analytics)

88 900 - 155 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Analytics & Insights Associate (Healthcare Analytics): Analyze complex healthcare, operational, clinical, utilization, workforce, and financial data to develop performance measures, benchmarking methodologies, dashboards, and actionable recommendations with an accent on data integrity, healthcare quality, and financial performance. Focus on automating analytical workflows, validating disparate data sources, and translating complex findings into stakeholder-ready insights for strategic decision-making and performance improvement.

Location: Chicago, IL 60607, United States; other company locations include Irving, TX 75062 and Centennial, CO 80111.

Salary: $88,900–$155,500 per year; incentive eligible.

Company

Healthcare organization supporting data-driven decision-making, performance improvement, and continuum-of-care initiatives.

What you will do

  • Analyze large, complex, and disparate healthcare datasets to identify trends, opportunities, and actionable insights.
  • Develop, refine, and validate performance measures, benchmarking methodologies, and analytical models for healthcare quality, operational effectiveness, and financial performance.
  • Design reports, dashboards, presentations, visualizations, and stakeholder-ready narratives that communicate findings and recommendations.
  • Validate, reconcile, and monitor data across multiple sources to ensure accuracy, integrity, and consistency.
  • Perform custom analyses addressing client needs and strategic initiatives, including clinical, operational, utilization, workforce, and financial analysis.
  • Automate and standardize analytical workflows, reporting processes, and data management practices to improve efficiency and scalability.

Requirements

  • Relevant degree preferred.
  • At least 5 years of relevant experience required.
  • Experience in healthcare analytics, decision support, consulting, or a related analytical discipline, including analysis of large, complex, and disparate healthcare datasets.
  • Advanced proficiency in SQL, Microsoft Excel, and Microsoft PowerPoint required.
  • Strong analytical, quantitative, critical-thinking, and problem-solving skills, with the ability to translate complex findings into clear, stakeholder-focused recommendations.
  • Excellent written and verbal communication skills, including experience presenting analytical insights to technical and business audiences.
  • Understanding of healthcare financial performance, including budget performance, service line economics, productivity metrics, reimbursement, margin analysis, and relationships among volume, quality, access, workforce, and financial outcomes.

Nice to have

  • Experience developing performance measures, benchmarking methodologies, analytical models, and reporting solutions.
  • Experience with Databricks, Python, SAS, and business intelligence or data visualization tools such as Power BI or Tableau.
  • Experience automating analytical workflows and reporting processes.
  • Experience working with healthcare data sources including claims, EHR, operational, quality, utilization, and financial data.

Culture & Benefits

  • Inclusive environment focused on employee engagement, satisfaction, authenticity, and contribution of individual skills.
  • Extensive opportunities for personal and professional development.
  • Comprehensive benefits plan.
  • Incentive eligibility.
  • Equal employment opportunity for protected groups, including females, minorities, veterans, and individuals with disabilities.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →