About The Position

As a Quality Data Analyst, you’ll transform clinical, quality, satisfaction, and performance data into meaningful insights that help teams make smarter decisions and improve outcomes. You’ll collect it, analyze it, question it, visualize it, and—most importantly—help people understand what it means and what we should do next. If spreadsheets are your happy place and “there has to be a better way to measure this” sounds like something you’d say, keep reading.

Requirements

  • Strong data mining, analysis, and research skills
  • Comfort working with rates, ratios, percentages, and data visualizations
  • Experience organizing and analyzing information from multiple sources
  • Strong written and verbal communication skills
  • Ability to create clear reports and recommendations
  • Experience with information systems, analytical tools, and reporting software
  • An understanding of process improvement and broad-scale systems thinking
  • Bachelor’s Degree in a related field
  • 1+ year of experience managing projects involving process improvement, systems thinking, research, or analysis

Nice To Haves

  • You don’t just see numbers—you see patterns, trends, and questions worth asking
  • You’re naturally curious and enjoy figuring out the why behind the data
  • Accuracy matters to you (a lot)
  • You can take a complicated analysis and explain it in a way that actually makes sense
  • You’re comfortable working independently but enjoy collaborating with teams across the organization
  • You love turning information into something people can actually use

Responsibilities

  • Design and support data collection tools, processes, and methodologies
  • Collect, manage, validate, and analyze clinical and quality data
  • Dig into existing data sources to uncover trends, opportunities, and areas for improvement
  • Use analytical tools to extract, organize, and manipulate data accurately
  • Turn complex information into clear, useful reports and visualizations
  • Monitor quality and outcomes data to support regulatory and accreditation requirements
  • Evaluate quality program outcomes and identify opportunities for improvement
  • Partner with cross-functional teams to determine what data matters—and the best way to measure it
  • Present findings and recommendations in a way that helps teams take action
  • Support performance improvement initiatives across the organization

Benefits

  • Deliver healthcare with heart.
  • Give people a reason to smile.
  • Put a little love in your work.
  • Be honest and real, but with compassion.
  • Bring some lagniappe into everything you do.
  • Forget one-size-fits-all, think one-of-a-kind care.
  • See opportunities, not problems – it’s all about perspective.
  • Cheerlead ideas, differences, and each other.
  • Love what makes you, you - because we do
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