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.