Data Analyst V - US

Owns complex, cross-cutting analytics solutions and semantic-layer/self-service capabilities, setting technical direction for their analytic area, mentoring analysts, and partnering directly with senior business/clinical stakeholders. Required Education & Experience ● Bachelor's degree in Health Science, Computer Science, Math, Business, or related field, or equivalent experience. ● 9-12 years of experience in analytics, with significant project ownership. ● 4–6 years hands-on building and optimizing dashboards/analytic solutions. ● 1+ year informally mentoring analysts. Preferred ● Advanced Tableau/Power BI certification. ● Deep experience validating AI-generated insights in a regulated/clinical setting. Knowledge, Skills, and Abilities ● Advanced expertise in SQL and dashboard architecture; deep understanding of data warehousing concepts. ● Independently designs complex, cross-domain analytic solutions and semantic-layer views. ● Deep understanding of prompt engineering and AI-copilot capabilities; independently designs guardrails for validating AI-generated insights/narratives. ● Mentors mid-level and junior analysts on requirements-gathering and dashboard design. ● Occasionally presents technical work to cross-functional groups of 5–10 people. Job Functions ● Architect and own end-to-end delivery of complex analytic solutions and semantic-layer views spanning multiple domains. ● Lead design reviews for dashboards/analytics; mentor junior/mid analysts on best practices, including safe use of AI copilots. ● Contribute to and help enforce data-validation and QA standards for the team. ● Own validation processes for AI-generated insights/narratives before they reach stakeholders. ● Partner directly with senior business/clinical stakeholders to translate ambiguous needs into technical designs. ● Build and support natural-language query interfaces on the semantic layer for broader self-service use.

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