Data Analyst V - US

Role overview Lead complex analytics work across multiple business or clinical domains, from gathering ambiguous stakeholder needs through to technical design and delivery. The role also shapes shared semantic-layer and self-service capabilities, sets quality standards, and supports other analysts, including responsible use of AI-generated insights.

Responsibilities - Architect and deliver cross-domain analytics solutions, dashboards, and semantic-layer views. - Partner with senior stakeholders to turn business or clinical questions into technical designs. - Lead design reviews and mentor junior and mid-level analysts on requirements, dashboard design, and safe AI-assisted analysis. - Establish and apply data-validation and quality assurance practices. - Validate AI-generated narratives and insights before they are shared with stakeholders. - Help build natural-language query interfaces that make trusted data more accessible.

Requirements - Bachelor’s degree in a relevant field or equivalent practical experience. - 9–12 years in analytics, including ownership of significant projects. - 4–6 years of hands-on dashboard or analytics solution development and optimization. - At least one year of informal experience mentoring analysts. - Advanced SQL and dashboard architecture skills, with a strong grasp of data warehousing. - Ability to design analytics across domains and create reliable validation approaches for AI-generated content.

Nice to have - Advanced Tableau or Power BI certification. - Experience validating AI-generated insights in a regulated or clinical environment.

Benefits and work setup - The stated annual compensation range is approximately $132,149–$193,856, varying by location and experience. - Additional compensation may include annual incentives, equity awards, and an employee stock purchase plan.