Staff Data Analyst (SQL Developer)

Accountabilities:

• • Define and drive analytics strategies in partnership with executive leadership, translating organizational priorities into measurable data initiatives.
  • Develop long-term KPI frameworks covering patient outcomes, provider performance, compliance, operational efficiency, and scalability.
  • Use advanced SQL on a daily basis to extract, clean, organize, integrate, and analyze data from multiple sources, maintaining strong data-quality standards.
  • Build scalable and reusable data models that support enterprise-level reporting, business intelligence, and strategic analysis.
  • Establish consistent data definitions, reporting structures, and metric calculations across the organization.
  • Support regulatory, quality, operational, and compliance reporting while identifying risks related to data accuracy, audit readiness, and healthcare requirements.
  • Anticipate changes in business or operational processes and proactively recommend adjustments to data structures, reporting, and analytical frameworks.
  • Develop predictive models and forecasts using SQL, Python, R, or comparable analytical technologies.
  • Create senior-level analytical frameworks for evaluating operational initiatives and measuring their effectiveness.
  • Partner strategically with Operations, Finance, Clinical, and other business functions to identify opportunities, answer complex questions, and improve decision-making.
  • Translate ambiguous requests from non-technical stakeholders into structured analytical plans, methodologies, and deliverables.
  • Present complex findings to senior and executive stakeholders, turning analytical insights into clear recommendations and business actions.
  • Identify gaps in data collection, governance, reporting, and analytical processes and implement scalable improvements.
  • Mentor mid-level and senior analysts, strengthening both technical capabilities and business acumen across the analytics organization.
  • Maintain a high standard of analytical rigor and ensure data-driven recommendations are based on reliable, well-understood information.
  • Complete a technical assessment during the interview process to demonstrate SQL proficiency and analytical reasoning.

  Requirements:

  • 7–10 years of professional experience in data analytics, business intelligence, or a closely related analytical discipline, with strong strategic thinking and stakeholder-management capabilities.
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Expert-level SQL skills with extensive hands-on experience cleaning, structuring, integrating, querying, and analyzing complex data sets.
  • Strong proficiency in Python, R, or similar analytical programming languages.
  • Advanced experience with BI and visualization platforms such as Tableau, Power BI, Zoho Analytics, or comparable tools.
  • Experience working with healthcare, telehealth, or another highly regulated industry is strongly preferred.
  • Strong understanding of healthcare operations, compliance considerations, and regulatory reporting environments.
  • Ability to work independently and make sound analytical decisions in ambiguous, high-stakes, and fast-moving environments.
  • Demonstrated ability to influence executive-level stakeholders and serve as a trusted strategic analytics partner.
  • Exceptional communication skills, including the ability to translate complex technical concepts into accessible business language.
  • Ability to transform unclear business questions into structured analytical plans and clearly communicate methodology, findings, and recommendations.
  • Strong presentation skills and confidence communicating complex data to senior leadership.
  • Ability to balance deep technical expertise with strong interpersonal and business-partnering skills.
  • Comfortable managing urgent, high-visibility analytical requests while maintaining accuracy and quality.
  • Experience mentoring analysts and contributing to the development of analytical standards and best practices.
  • Familiarity with HIPAA, healthcare compliance frameworks, or other regulated environments is preferred.
  • Experience supporting multi-state healthcare operations, board-level reporting, investor analytics, or enterprise KPI frameworks is a plus.
  • The role requires strong independent analytical judgment; candidates should be able to evaluate data quality and perform core SQL analysis without relying on AI tools.

  Benefits:

  • Remote work: Fully remote position available across the United States.
  • Opportunity to work in a mission-driven healthcare and telehealth environment.
  • High level of autonomy and ownership within a relatively flat organizational structure.
  • Opportunity to influence executive decision-making, operational performance, patient outcomes, and enterprise analytics strategy.
  • Significant scope to establish scalable KPI frameworks, data models, reporting standards, and analytical methodologies.
  • Opportunity to mentor other analysts and help raise technical and analytical standards across the organization.
  • Collaborative environment built around autonomy, competence, and belonging.
  • Exposure to complex healthcare operations, compliance, regulatory reporting, and nationwide data challenges.