Senior Data Analyst - Healthcare Remote

City of Hope
$93,398 - $144,766Remote

About The Position

The Senior Quality Data Analyst is a highly skilled analytics professional passionate about transforming complex healthcare data into meaningful insights. This position will support our Quality, Risk and Regulatory Management team. In this role, you will develop reports and dashboards that support clinical and operational decision-making, helping improve patient care, quality outcomes, and organizational performance. You will work with enterprise data systems, applying advanced analytics and data visualization techniques to deliver actionable intelligence to key stakeholders across the organization.

Requirements

  • Bachelor’s degree in healthcare, business, IT, or related field (or equivalent experience)
  • 5+ years of experience in healthcare analytics, informatics, or related field
  • Strong SQL expertise including database design, querying, and data manipulation
  • Advanced skills in Excel, Access, and data analysis tools
  • Proficiency in business intelligence and visualization tools (e.g., Tableau, Business Objects, Statit)
  • Strong analytical, problem-solving, and communication skills
  • Ability to translate complex data into clear insights for diverse audiences
  • Experience with data warehousing, reporting systems, and performance improvement initiatives

Nice To Haves

  • Experience working with clinical data and healthcare systems preferred

Responsibilities

  • Analyze large healthcare datasets to identify trends, patterns, and actionable insights
  • Develop and maintain dashboards, scorecards, and key performance indicators (KPIs)
  • Extract, transform, and load (ETL) data from multiple systems into the enterprise data warehouse
  • Collaborate with clinical and operational teams to understand business needs and deliver reporting solutions
  • Perform data modeling, mapping, and visualization for quality improvement initiatives
  • Present findings and recommendations through clear, compelling visual and written communication
  • Support data governance, data quality, and performance improvement initiatives
  • Leverage benchmarking tools (e.g., Vizient and external datasets) to evaluate performance
  • Design and optimize SQL queries, tables, views, and stored procedures

Benefits

  • Comprehensive Benefits
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