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Senior Data Analyst (Healthcare)

100 000 - 120 000$
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/Data Analytics): Leading advanced data analysis projects and developing dashboards, reports, and KPIs for strategic healthcare and life sciences decision-making with an accent on statistical analysis, data visualization, and data quality. Focus on transforming complex data into actionable recommendations, conducting predictive analyses, and mentoring junior analysts.

Location: United States; hybrid work schedule.

Salary: $100,000–$120,000 per year, depending on qualifications, with eligibility for an annual bonus program or commission incentive based on the role.

Company

hirify.global operates across healthcare and life sciences, supporting data-driven business initiatives.

What you will do

  • Lead advanced data analysis projects and transform raw data into actionable insights.
  • Develop and maintain dashboards, reports, and KPIs for strategic initiatives.
  • Partner with business leaders to identify growth, optimization, and innovation opportunities.
  • Collaborate with engineering and data teams to ensure data accuracy, integrity, and accessibility.
  • Identify and resolve data quality issues while improving data processes, governance, and standards.
  • Conduct statistical and predictive analyses and communicate findings through presentations, visualizations, and data stories.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field; a master’s degree is preferred.
  • 4–6 years of data analysis or business intelligence experience, preferably in healthcare, life sciences, publishing, or a related industry.
  • Advanced SQL and data-querying skills.
  • Experience with Power BI, Tableau, or Looker, plus advanced Excel, pivot tables, and data modeling.
  • Experience with statistical analysis using Python, R, or SAS.
  • Strong critical thinking, communication, organizational, and project management skills; ability to mentor junior analysts.

Nice to have

  • Experience with Snowflake, AWS, Azure, GCP, big data tools, ETL processes, or data warehousing.
  • Familiarity with machine learning or predictive modeling techniques.
  • Healthcare or life sciences data analysis background.

Culture & Benefits

  • Strategic work shaping data-driven decisions across a growing organization.
  • Collaboration with diverse teams on healthcare and life sciences projects.
  • Leadership development and career growth opportunities.
  • Hybrid work schedule with medical, dental, vision, pharmacy, FSA, HSA, and dependent care benefits.
  • 401(k) and Roth 401(k) plans with company match, disability coverage, insurance options, commuter benefits, and employee assistance resources.

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