Surescripts

Surescripts

Senior Analytics Analyst - Healthcare Data

United States, USA · Senior

No sponsorship$124k-$151kDetected 24 days ago
PythonCode ReviewSQLData ScienceData VisualizationStatisticsProject ManagementPublic HealthLeadershipCollaborationMentoringEpidemiology

About the role

  • The Senior Analytics Analyst - Healthcare Data independently leads analytics workstreams that produce actionable insights, enable product decisions, and strengthen commercial narratives across Surescripts solutions.
  • This role owns analysis from problem framing through delivery, applying strong statistical and analytical judgment to large-scale healthcare transaction data.

Responsibilities

  • Own end-to-end analytics deliverables: scope the problem, define success metrics, develop analytic plans, execute analyses/models, and present results with confidence.
  • Develop and deliver complex descriptive and diagnostic analyses
  • Partner closely with product and engineering to translate ambiguous needs into measurable questions, testable hypotheses, and scalable analytic outputs.
  • Establish and maintain reusable analytic assets (queries, datasets, templates, documentation) that improve team efficiency and consistency.
  • Mentor colleagues and team members through coaching, feedback, and structured support on analytic approach and stakeholder communication.
  • Support client-facing work as needed (e.g., preparing exhibits, explaining methods)
  • Develop and deliver complex descriptive and diagnostic analyses; contribute to predictive/prescriptive efforts with appropriate methods selection and validation.
  • We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.
  • The Senior Analyst serves as a reliable cross-functional partner, elevates analytic rigor, and mentors junior analysts while remaining hands-on.

Requirements

  • Advanced SQL proficiency
  • 5+ years of experience in analytics roles, with demonstrated ownership of multi-stakeholder analyses

Nice to have

  • Master's degree in a quantitative field preferred
  • This model allows employees to work virtually while still utilizing our offices as collaboration centers.
  • With alignment and agreement from your leadership, you can come and go from the office as needed.
  • Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.
  • We're a midsize company.
  • This means you're not just another employee ID number.
  • Better Life section of our careers site.
  • Physical and Mental Requirements

Compensation

  • We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

Benefits

  • To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits.
  • Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field required.
  • 5+ years of experience in analytics roles, with demonstrated ownership of multi-stakeholder analyses; healthcare analytics experience strongly preferred.

Equal opportunity

  • Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Visa & Work Authorization

  • To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benef

This listing is sourced directly from Surescripts's careers page and normalized into a canonical job model.